{ "count" : 18364, "data" : [ { "id" : "68e0a7e1ce260f92cbf8e91d", "title" : "Software Developer-AWS Transform", "company" : "CloudEndure Ltd.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 245000.0, "max" : 335000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Software Developer in Tel Aviv-Yafo, Israel, adjusted for the Technology industry and company size." }, "location" : "Tel Aviv-Yafo, TA, ISR", "locations" : [ "Tel Aviv-Yafo, TA, ISR" ], "timestamp" : "2026-06-15T02:19:36.792", "fingerprint" : "12f655c6311060ce7823b727aa8fb6db20c8e01f546468976adf204a55b55864", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3101298/apply", "externalId" : "9cafdcfa-0360-4260-9ffa-7dad00652726", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tel Aviv-Yafo", "state" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" } ], "locationText" : "Tel Aviv-Yafo, Tel Aviv, Israel", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "technicalSkills" : "AWS, GenAI", "professionalSkills" : [ "System design", "Technical leadership" ], "hardSkillsList" : [ "Code reviews", "Build processes", "Testing", "Operations" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Code reviews", "level" : "intermediate" }, { "name" : "Build processes", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Operations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Cloud migration, System modernization, GenAI solutions", "majorSkillsList" : [ "Cloud migration", "System modernization", "GenAI solutions" ], "coreResponsibilities" : "Drive system design, Implement system design, Deliver system design, Lead technically, Align engineering efforts, Communicate across teams, Influence architectural decisions, Guide architectural decisions, Write high-quality code, Write efficient code, Write secure code, Mentor teammates, Foster engineering best practices, Grow technical depth, Grow leadership impact", "teamCollaboration" : "Across teams", "domainKnowledge" : "VMware environments; On-premises data centers; Cloud computing", "domainList" : [ "vmware-environments", "on-premises-data-centers", "cloud-computing" ], "domainSpecificKnowledge" : [ "VMware environments", "On-premises data centers", "Cloud computing" ], "continuousLearning" : "Mentorship; Career growth", "innovationCreativity" : "Innovation", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "More and more enterprise companies are moving to the cloud to reduce technical debt and focus on innovation. Amazon Web Services (AWS) is investing heavily to ensure we continue delivering the world’s best customer experience for complex, large-scale transformations. If you're energized by the opportunity to accelerate one of the most impactful technology shifts of our time, join us. The AWS Transform team in Tel Aviv is growing. What is AWS Transform? AWS Transform is a strategic initiative focused on helping enterprise customers modernize and migrate their compute, storage, and networking infrastructure into the cloud, with a strong emphasis on VMware-based environments and traditional on-premises data centers. We build automated, scalable, intelligent, and agentic GenAI-powered solutions that simplify complexity, reduce operational risk, accelerate migration timelines, and unlock long-term agility and cost efficiency for our customers. Key job responsibilities What You’ll Do: As a Software Development Engineer (SDE) on the AWS Transform team, you'll be at the heart of designing, building core functions involve orchestrating hundreds or thousands of systems and legacy workloads, each with unique technical and operational constraints. You will: Drive end-to-end system design, implementation, and delivery Play a key technical leadership role on the team, aligning engineering efforts with customer needs Communicate effectively across teams to influence and guide architectural decisions Write high-quality, efficient, and secure code that sets an example for others Mentor teammates through design and code reviews and foster engineering best practices Continuously grow your technical depth and leadership impact as AWS scales About the team About the team *Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. *Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. *Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. *Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. *Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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Architects; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "toolProficiency" : [ "Python", "Amazon Bedrock", "Amazon SageMaker", "LangChain", "LlamaIndex" ], "communicationSkills" : "Customer presentations; Executive presentations", "documentationSkills" : "Best practice recommendations; Tutorials; Blog posts; Sample code", "innovationCreativity" : "Innovate in a fast-paced organization; Game-changing projects; New ways of optimizing risk, profitability, and customer experience; State-of-the-art solutions for never-before-solved problems", "problemSolvingSkills" : "Solve real world problems; Navigate technical or business challenges; Optimize risk, profitability, and customer experience", "qualificationsBasic" : "Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience, 2+ years of hands-on experience with generative AI technology, 5+ years of experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning, 5+ years of hands on experience with Python to build, train, and evaluate models, 4+ years of technical client engagement experience", "qualificationsPreferred" : "Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker, Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches, Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs, Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools, Hands on experience building cloud applications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Data Scientist, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder • Provide customer and market feedback to product and engineering teams to help define product direction About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience - 2+ years of hands-on experience with generative AI technology - 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning - 5+ years of hands on experience with Python to build, train, and evaluate models - 4+ years of technical client engagement experience Preferred Qualifications: - Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field - Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker - Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches - Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs - Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools - Hands on experience building cloud applications Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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Amazon Web Services (AWS) is investing heavily to ensure we continue delivering the world’s best customer experience for complex, large-scale transformations. If you're energized by the opportunity to accelerate one of the most impactful technology shifts of our time, join us. The AWS Transform team in Tel Aviv is growing. What is AWS Transform? AWS Transform is a strategic initiative focused on helping enterprise customers modernize and migrate their compute, storage, and networking infrastructure into the cloud, with a strong emphasis on VMware-based environments and traditional on-premises data centers. We build automated, scalable, intelligent, and agentic GenAI-powered solutions that simplify complexity, reduce operational risk, accelerate migration timelines, and unlock long-term agility and cost efficiency for our customers. Key job responsibilities What You’ll Do: As a Software Development Engineer (SDE) on the AWS Transform team, you'll be at the heart of designing, building core functions involve orchestrating hundreds or thousands of systems and legacy workloads, each with unique technical and operational constraints. You will: Drive end-to-end system design, implementation, and delivery Play a key technical leadership role on the team, aligning engineering efforts with customer needs Communicate effectively across teams to influence and guide architectural decisions Write high-quality, efficient, and secure code that sets an example for others Mentor teammates through design and code reviews and foster engineering best practices Continuously grow your technical depth and leadership impact as AWS scales About the team About the team *Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. *Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. *Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. *Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. *Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Developer-AWS Transform at CloudEndure Ltd.. Skills: AWS Transform, System modernization, Cloud migration. Drive system design. Implement systems", "postedDate" : "2026-06-13T00:21:21.601", "createdAt" : "2026-06-13T00:21:21.601", "lastUpdated" : "2026-06-14T22:22:19.891", "ingestTimestamp" : "2026-06-13T00:21:21.601", "mongoId" : "69164da070f0b99d586f3042", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3123202/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Code reviews", "Build processes", "Testing", "Operations", "Mentoring", "AWS Transform", "System modernization", "Cloud migration", "System design", "Technical leadership", "VMware environments", "On-premises data centers", "Cloud computing" ], "skillCount" : 13, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c6af474d8ee00a090f764", "title" : "Data modeler", "company" : "Capco", "industry" : "Consulting", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Modeler in Pune, India, adjusted for Seniority and Consulting industry." }, "location" : "India - Bengaluru", "locations" : [ "India - Bengaluru", "India - Gurugram", "India - Hyderabad", "India - Pune" ], "timestamp" : "2026-06-15T12:29:02.759", "fingerprint" : "1b0f0a3b206715cb16550a4fd7860316f5dc7a792ab34dcf2ae07619360a89c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capco/jobs/8000334", "externalId" : "8000334", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" }, { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" }, { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Pune, Maharashtra, India; Hyderabad, Telangana, India; Bangalore, Karnataka, India", "experienceMinYears" : 8, "experienceMaxYears" : 12, "experienceLevel" : "Senior", "technicalSkills" : "SQL, GCP Big Query", "professionalSkills" : [ "Data modeling", "Metadata management", "Stakeholder management" ], "hardSkillsList" : [ "Data governance", "SDLC", "Agile methodologies" ], "softSkillsList" : [ "Problem solver", "Solution-seeking" ], "hardSkills" : [ { "name" : "Data governance", "level" : "intermediate" }, { "name" : "SDLC", "level" : "intermediate" }, { "name" : "Agile methodologies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solver" }, { "name" : "Solution-seeking" } ], "majorSkills" : "Data modeling, Metadata management", "majorSkillsList" : [ "Data modeling", "Metadata management" ], "teamCollaboration" : "Business teams; Technical teams", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Financial domain", "domainList" : [ "financial-domain" ], "domainSpecificKnowledge" : [ "Financial domain" ], "toolProficiency" : [ "Erwin", "Visual Paradigm", "MS-Office" ], "communicationSkills" : "Stakeholder management", "documentationSkills" : "Metadata management", "problemSolvingSkills" : "Problem solver; Solution-seeking", "qualificationsBasic" : "Data Modeling experience 8-12 years, Financial domain experience, SQL proficiency, SDLC understanding, Agile methodologies understanding", "qualificationsPreferred" : "Visual Paradigm", "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Data modeler About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Number of Positions: 1 Job Location: Pune, Hyderabad, Bangalore Strong Data Modeling experience of 8-12 years. Strong financial domain experience. Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards. Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid. Should be an individual contributor with good understanding of the SDLC & Agile methodologies. A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast-paced and continuously changing environment. Excellent communication & stakeholder management skills and should be capable of building rapport and relationships. Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects. Other Skills & Tools: SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable).", "summaryDescription" : "Data modeler at Capco. Skills: Data modeling, Metadata management", "postedDate" : "2026-06-14T09:34:01.299", "createdAt" : "2026-06-14T09:34:01.299", "lastUpdated" : "2026-06-15T12:29:02.759", "ingestTimestamp" : "2026-06-14T09:34:01.299", "mongoId" : "6a2c6af474d8ee00a090f764", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data governance", "SDLC", "Agile methodologies", "Problem solver", "Solution-seeking", "Data modeling", "Metadata management", "Stakeholder management", "Financial domain", "Erwin", "Visual Paradigm", "MS-Office" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cab6274d8ee00a09cc258", "title" : "Production Worker II (Raw)", "company" : "Jack Link's Protein Snacks", "industry" : "Consumer Goods", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Production Worker II (Raw) in Laurens, United States, adjusted for the food and beverage industry." }, "location" : "Laurens, IA, United States", "locations" : [ "Laurens", "IA", "United States" ], "timestamp" : "2026-06-15T09:03:40.773", "fingerprint" : "790a73248120d26f2f79387310cf7479eebaff7344c2c4eacfac4b1952f5e2ec", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/JackLinksProteinSnacks/744000131892549-production-worker-ii-raw-day-shift", "externalId" : "744000131892549", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Laurens", "state" : "Iowa", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.8467508,-94.8513672" } ], "locationText" : "Laurens, Iowa, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "coreResponsibilities" : "Follow daily production schedule, Achieve specified goals, Ensure product conforms to specifications, Prevent rework, Minimize rework, Minimize inedible product, Perform standard operating procedures, Complete necessary technical training, Complete necessary skills verification, Complete necessary soft skills training, Return from breaks timely, Notify lead before leaving, Accurately complete paperwork, Attend department meetings, Attend company meetings, Work scheduled shift, Maintain safe work area, Maintain clean work area, Maintain organized work area, Report accidents, Report deficiencies, Ensure safety devices installed, Ensure safety devices working, Suggest continuous improvement, Perform duties within OSHA standards, Perform duties within company safety standards, Follow set company safety rules, Follow set OSHA safety rules, Follow Good Manufacturing Practices, Follow HACCP training, Follow company pre-requisite programs, Follow Standard Operating Procedures, Follow Standard Sanitation Operating Procedures, Perform other duties as necessary, Ensure products correctly labeled, Ensure products correctly identified, Keep record of products used, Follow FIFO, Add ingredients to batch, Verify ingredients against formulations, Move meat into machines, Move meat into combos, Move meat into v-mags, Load meat racks, Push meat trucks, Monitor meat for quality, Maintain accurate records, Wash carts, Sanitize carts, Wash racks, Sanitize racks, Wash trucks, Sanitize trucks, Count packages, Place packages in caddies, Handle finished product, Place finished product on lines, Make pallets, Stack boxes onto pallets, Prepare pallet with cardboard wrapping, Manually shrink wrap pallets, Pull pallets with manual pallet jack, Push pallets with manual pallet jack", "domainKnowledge" : "Good Manufacturing Practices; HACCP; OSHA safety standards; FIFO", "domainList" : [ "good-manufacturing-practices", "haccp", "osha-safety-standards", "fifo" ], "domainSpecificKnowledge" : [ "Good Manufacturing Practices", "HACCP", "OSHA safety standards", "FIFO" ], "toolProficiency" : [ "Taping machines", "Shrink wrap machines", "Pallet jacks" ], "specialRequirements" : "Lift up to 25 pounds, Lift up to 50 pounds, Stand, Walk, Use hands, Reach with hands", "qualificationsBasic" : "None required", "qualificationsPreferred" : "Warehouse experience a plus, Assembly line experience a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "When it comes to being wild, we know a thing or two. We're not afraid of trying something new or the hard work it takes to make it happen. It's in our DNA. We've turned a family recipe into a new snacking category. And the wilderness into the world's largest meat snack business, that's still proudly family owned and operated. We're a company built by innovators, and are driven to not only satisfy your hunger, but to also feed your journey – whether that journey is on the road, on the run, at the campground, at the playground, in the office or in the moment. It’s a journey we share with you. It’s the journey forward of our people, of our communities, of our category…with a reverence for quality and an irreverence for the status quo. At Jack Link's Protein Snacks, we see every moment of every day as an opportunity to move forward, to forge new ground. To realize our vision of becoming the World’s #1 Protein Snack Company. We never give up. You never give up. Together, we keep going. Are you wild enough to join us? Jack Link's Protein Snacks is a global leader in snacking and the No. 1 meat snack manufacturer worldwide. Family-owned and operated with headquarters in Minong, Wisconsin, Jack Link’s Protein Snacks also has a large corporate hub in Downtown Minneapolis, Minnesota. The company is made up of over 4,000 passionate team members, across 11 countries, who share an uncompromising commitment to delivering awesome products and feeding the journey of those who move things forward. The Jack Link’s Protein Snacks portfolio of brands includes, Jack Link’s, Lorissa’s Kitchen, MATADOR Jerky, BiFi and Peperami. Job Description The role of the Production Worker is to perform necessary functions in order to efficiently, safely, and correctly prepare and process raw material to prepare it for cooking or cut & package finished product in preparation for shipment to customer. DUTIES AND RESPONSIBILITIES The duties and responsibilities of this position shall consist of, but not be limited to, the following: General : * Follow daily production schedule and achieve specified goals. * Ensure product conforms to specifications. * Prevent and minimize rework and/or inedible. * May require working on taping machines, shrink wrap machines, pallet jacks, trash and recycling compactors. * Perform standard operating procedures of production and inspection functions as directed. * Successfully complete all necessary technical training and skills verification as directed. * Successfully complete all necessary soft skills training as directed. * Return from breaks in a timely manner; notify lead/foreman/supervisor before leaving the department. * Accurately complete all necessary paperwork as directed. * Attend all department and company scheduled meetings. * Works scheduled shift as assigned. * Maintain a safe, clean and organized work area. * Immediately report all accidents and deficiencies to the lead/foreman/supervisor. * Ensure safety devices are installed and working properly. * Suggest improvements; continuously improve the quality of all support activities. * Perform all required duties within OSHA and company safety standards. * Follows set company and OSHA safety rules, regulations, and guidelines at all times. * Follow Good Manufacturing Practices (GMPs), Hazard Analysis and Critical Control Point (HACCP) training, along with company pre-requisite programs, Standard Operating Procedures (SOP’s), and Standard Sanitation Operating Procedures (SSOP’s). * Performs other duties and responsibilities as necessary. * Ensure products are correctly labeled and identified for proper disposition. * Keep record of products used to follow FIFO (first in – first out) RAW: * Add ingredients to batch and verify against formulations in Blending system. * Move meat into machine(s) and/or combos and/or v-mags using appropriate tools and techniques * Load meat racks, push meat trucks from one area to another, visually monitoring meat for quality. * Maintain accurate records, washing and sanitizing carts, racks, and trucks. Ready to Eat : * Count and place packages in appropriate caddies, maintaining accurate records, washing and sanitizing carts, racks, and trucks. * Handling finished product, placing it continuously in trays or assembly lines to be shipped to our customers. * Making pallets by stacking boxes onto pallets, preparing the pallet with cardboard wrapping, manually shrink wrapping, and pulling/pushing pallets with manual pallet jack. ## Qualifications REQUIRED EDUCATION AND EXPERIENCE Required Education: None Required Experience : None Preferred : Knowledge of warehouse and assembly line experience is a plus. REQUIRED SKILLS, KNOWLEDGE and ABILITIES: * Must be able to work in a fast-paced environment. * Must be able to perform repetitive functions. * Must adhere to all company policies and regulatory guidelines. * Must be able to accept direction from Department Leads and supervisors * Must be able to communicate with co-workers and supervisor. * Must be able to work in a team oriented environment. * Must be able to perform duties with minimal supervision. * Excellent attendance and dependability * Attention to detail * Fast-paced environment * Work well with others * Great communication skills ## Additional Information PHYSICAL DEMANDS : The physical demands described here are representative of those that must be met by an employee to be successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job the employee is regularly required to stand, walk, use hands to finger, handle, or feel, lift and/or move up to 25 pounds, and talk or hear. The employee is occasionally required to sit, and reach with hands and arms. The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include close vision. WORK ENVIRONMENT : The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The work environment is a plant / office setting with varying degrees of temperatures and noise levels. Exposure to manufacturing equipment movement and wet / slippery floors. Travel may be required. Equal Employment Opportunity Employer Jack Link's is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation and gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. E-Verify Jack Link's provides the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new Team Member’s Form I-9 to confirm work authorization. IMPORTANT: If the Government cannot confirm that you are authorized to work, we are required to provide you written instructions and an opportunity to contact SSA and/or DHS before taking adverse action against you, including terminating your employment. We do not use E-Verify to pre-screen job applicants or to re-verify current employees and may not limit or influence the choice of documents presented for use on the Form I-9. In order to determine whether Form I-9 documentation is valid, we use E-Verify’s photo screening tool to match the photograph appearing on some permanent resident and employment authorization cards with the official U.S. Citizenship and Immigration Services’ (USCIS) photograph. If you believe that Jack Link’s has violated our responsibilities under this program or has discriminated against you during the verification process based upon your national origin or citizenship status, please call the Office of Special Counsel at 1-800-255-7688 (TDD: 1-800-237-2515). All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Production Worker II (Raw) at Jack Link's Protein Snacks. Follow daily production schedule. Achieve specified goals", "postedDate" : "2026-06-12T12:34:19.000", "createdAt" : "2026-06-14T07:22:04.265", "lastUpdated" : "2026-06-15T09:03:40.773", "ingestTimestamp" : "2026-06-14T07:22:04.265", "mongoId" : "6a2cab6274d8ee00a09cc258", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 48000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Good Manufacturing Practices", "HACCP", "OSHA safety standards", "FIFO", "Taping machines", "Shrink wrap machines", "Pallet jacks" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ae8f374d8ee00a072bcac", "title" : "Data Modeler", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Modeler in Bengaluru, India, adjusted for Senior seniority and Technology industry." }, "location" : "Bengaluru, KA", "locations" : [ "Bengaluru, KA", "India" ], "timestamp" : "2026-06-15T01:01:25.274", "fingerprint" : "dda8afad4678c0ed2a63d76d65a8b0686eeb4bd8229165457620b18350d3144a", "source" : "workday", "language" : "en", "applyUrl" : "https://freseniusmedicalcare.wd3.myworkdayjobs.com/fme/job/Bengaluru-KA/Data-Modeler_R0254268", "externalId" : "R0254268", "locationPoint" : "12.97194,77.59369", "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Snowflake, Databricks, Spark, AWS, Azure, S3, ADLS Gen2, SageMaker, Amazon Bedrock", "professionalSkills" : [ "Data modeling", "Analytics engineering", "AI/ML workloads", "GenAI workloads", "Data governance", "Metadata standards", "Lineage standards", "Data quality rules", "Business glossaries", "Data ownership", "Domain boundaries", "Stewardship responsibilities", "Impact analysis" ], "hardSkillsList" : [ "Data modeling concepts", "Dimensional models", "Relational models", "Hybrid models", "Star schema", "Snowflake schema", "Data vault modeling", "Source-to-target mappings", "Transformation logic", "Feature usability", "Feature consistency", "Feature lineage", "Explainability", "Traceability", "Data asset reuse" ], "softSkillsList" : [ "Analytical skills", "Problem-solving skills" ], "hardSkills" : [ { "name" : "Data modeling concepts", "level" : "intermediate" }, { "name" : "Dimensional models", "level" : "intermediate" }, { "name" : "Relational models", "level" : "intermediate" }, { "name" : "Hybrid models", "level" : "intermediate" }, { "name" : "Star schema", "level" : "intermediate" }, { "name" : "Snowflake schema", "level" : "intermediate" }, { "name" : "Data vault modeling", "level" : "intermediate" }, { "name" : "Source-to-target mappings", "level" : "intermediate" }, { "name" : "Transformation logic", "level" : "intermediate" }, { "name" : "Feature usability", "level" : "intermediate" }, { "name" : "Feature consistency", "level" : "intermediate" }, { "name" : "Feature lineage", "level" : "intermediate" }, { "name" : "Explainability", "level" : "intermediate" }, { "name" : "Traceability", "level" : "intermediate" }, { "name" : "Data asset reuse", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical skills" }, { "name" : "Problem-solving skills" } ], "majorSkills" : "Data modeling, Cloud data platforms, AI/ML enablement", "majorSkillsList" : [ "Data modeling", "Cloud data platforms", "AI/ML enablement" ], "coreResponsibilities" : "Design data models, Maintain data models, Develop dimensional models, Develop relational models, Develop hybrid models, Translate business requirements, Ensure models support batch use cases, Ensure models support near-real-time use cases, Design models optimized for Snowflake, Partner with data engineering teams, Implement models in Databricks, Support cloud data storage solutions, Ensure models align with analytics consumption, Ensure models align with BI consumption, Collaborate with data engineers, Ensure data pipelines populate models, Ensure data pipelines maintain models, Define source-to-target mappings, Define transformation logic, Ensure consistency of data definitions, Design data models for ML workloads, Design feature models for ML workloads, Design data models for GenAI workloads, Design feature models for GenAI workloads, Partner with data scientists, Ensure feature usability, Ensure feature consistency, Ensure feature lineage, Enable explainability for AI initiatives, Enable traceability for AI initiatives, Enable reuse of data assets, Align models with business glossaries, Align models with metadata standards, Align models with lineage standards, Align models with data quality rules, Align models with validation checks, Ensure models reflect data ownership, Ensure models reflect domain boundaries, Ensure models reflect stewardship responsibilities, Maintain documentation for data models, Maintain documentation for definitions, Maintain documentation for relationships, Contribute to modeling standards, Contribute to best practices, Contribute to design guidelines, Support impact analysis for changes, Engage with business users, Engage with analysts, Engage with product owners, Validate data requirements, Support analytics teams, Support reporting teams, Act as subject matter expert", "teamCollaboration" : "Data engineers; Governance teams; Analytics teams; Business stakeholders; Data scientists", "domainKnowledge" : "Data modeling concepts; Cloud data architectures; AI/ML workloads; GenAI workloads; Data integration; ETL/ELT processes; Analytics workloads", "domainList" : [ "data-modeling-concepts", "cloud-data-architectures", "ai-ml-workloads", "genai-workloads", "data-integration", "etl-elt-processes", "analytics-workloads" ], "domainSpecificKnowledge" : [ "Data modeling concepts", "Cloud data architectures", "AI/ML workloads", "GenAI workloads", "Data integration", "ETL/ELT processes", "Analytics workloads" ], "toolProficiency" : [ "Snowflake", "Databricks", "SageMaker", "Amazon Bedrock" ], "communicationSkills" : "Technical stakeholders; Non-technical stakeholders", "documentationSkills" : "Documentation for data models; Documentation for definitions; Documentation for relationships", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "5+ years experience in data modeling, 3+ years supporting enterprise-scale data platforms, Experience modeling data for analytics, Experience modeling data for reporting, Experience modeling data for AI use cases, Bachelor's degree in Computer Science, Bachelor's degree in Information Systems, Bachelor's degree in Data Management, Bachelor's degree in Engineering, Bachelor's degree in a related field, Expertise in data modeling concepts", "qualificationsPreferred" : "Master's degree is a plus, Experience in regulated industries, Familiarity with data governance tools, Familiarity with metadata tools, Familiarity with lineage tools, Experience with large data ecosystems, Experience with multi-domain modeling, Exposure to real-time architectures, Exposure to event-driven architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "### **Role Overview** ### We are seeking a Data Modeler to design, develop, and maintain high‑quality conceptual, logical, and physical data models that support analytics, reporting, AI/ML, and GenAI use cases. This role partners closely with data engineers, governance teams, analytics, and business stakeholders to ensure data structures are scalable, performant, governed, and aligned with business semantics across AWS and Azure data platforms. ### ### **Key Responsibilities** ### Data Modeling & Design ### Design and maintain conceptual, logical, and physical data models to support enterprise analytics, reporting, and AI use cases. ### Develop dimensional, relational, and hybrid models (e.g., star, snowflake, data vault where applicable). ### Translate business requirements into well‑structured, reusable data models. ### Ensure data models support both batch and near‑real‑time use cases. ### Cloud Data Platforms & Analytics ### Design data models optimized for Snowflake, including performance, scalability, and cost efficiency. ### Partner with data engineering teams to implement models in Databricks (Spark) environments. ### Support cloud data storage solutions such as S3 and ADLS Gen2. ### Ensure models align with analytics and BI consumption patterns. ### Data Integration & Transformation Alignment ### Collaborate with data engineers to ensure data pipelines correctly populate and maintain models. ### Define source‑to‑target mappings and transformation logic. ### Ensure consistency of data definitions across source systems and downstream consumers. ### AI / ML & Advanced Analytics Enablement ### Design data and feature models that support ML and GenAI workloads using SageMaker and Amazon Bedrock. ### Partner with data scientists to ensure feature usability, consistency, and lineage. ### Enable explainability, traceability, and reuse of data assets for AI initiatives. ### Data Governance & Quality ### Work closely with data governance teams to align models with: ### Business glossaries ### Metadata and lineage standards ### Data quality rules and validation checks ### Ensure models reflect data ownership, domain boundaries, and stewardship responsibilities. ### Documentation & Standards ### Maintain comprehensive documentation for data models, definitions, and relationships. ### Contribute to modeling standards, best practices, and design guidelines. ### Support impact analysis for changes to data structures. ### Collaboration & Stakeholder Engagement ### Engage with business users, analysts, and product owners to validate data requirements. ### Support analytics and reporting teams in understanding and using data models effectively. ### Act as a subject matter expert for enterprise data structures. ### ### **Required Skills & Experience** ### Technical Skills * ### Strong expertise in data modeling concepts (conceptual, logical, physical). * ### Proficiency in SQL; familiarity with Python is a plus. * ### Hands‑on experience with Snowflake data modeling and performance optimization. * ### Experience working with Databricks / Spark‑based data platforms. * ### Understanding of cloud data architectures on AWS and/or Azure. * ### Familiarity with data integration, ETL/ELT processes, and analytics workloads. * ### Understanding of data needs for AI/ML and GenAI platforms (SageMaker, Bedrock). ### ### Soft Skills * ### Strong analytical and problem‑solving skills. * ### Ability to translate complex business concepts into clear data structures. * ### Excellent communication skills with both technical and non‑technical stakeholders. * ### Detail‑oriented with a focus on data consistency and usability. ### ### **Education Requirements** ### Bachelor’s degree in Computer Science, Information Systems, Data Management, Engineering, or a related field. ### Master’s degree is a plus. ### Experience Requirements ### 5+ years of experience in data modeling, analytics engineering, or related roles. ### 3+ years supporting enterprise‑scale data platforms in cloud environments. ### Experience modeling data for analytics, reporting, and AI use cases. ### Preferred Qualifications ### Experience in regulated industries (e.g., healthcare, life sciences, finance). ### Familiarity with data governance, metadata, and lineage tools. ### Experience with large, complex data ecosystems and multi‑domain modeling. ### Exposure to real‑time or event‑driven architectures.", "summaryDescription" : "Data Modeler. Skills: Data modeling, Cloud data platforms, AI/ML enablement. Design data models. 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We build next-generation, agent-driven solutions that modernize enterprise workloads. This position within the AWS Transform team presents a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology and product. A successful candidate will bring deep technical expertise, an ability to deliver novel products, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact. Key job responsibilities * Design and implement complex distributed systems with stringent latency and reliability requirements * Architect scalable agent infrastructure including orchestration, state management, and tool integration * Drive technical alignment across multiple engineering teams and stakeholders * Collaborate with Product, Science, and customers to translate requirements into effective technical solutions * Develop team members' technical capabilities through mentorship, knowledge sharing, and best practices * Maintain strong focus on customer experience in all technical decisions About the team Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer II, AWS Transform at Amazon Development Center U.S., Inc.. Skills: Agentic AI, Distributed systems, Cloud computing. Design distributed systems. Implement distributed systems", "postedDate" : "2026-06-13T04:02:54.657", "createdAt" : "2026-06-13T04:02:54.657", "lastUpdated" : "2026-06-15T01:21:49.795", "ingestTimestamp" : "2026-06-13T04:02:54.657", "mongoId" : "69fe47294c40e2acd1f5975e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10415198/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 194400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Distributed systems design", "Agent orchestration", "State management", "Tool integration", "Mentorship", "Agentic AI", "Distributed systems", "Cloud computing", "System design", "Agent infrastructure", "Agentic AI systems" ], "skillCount" : 11, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2176f674d8ee00a0c1b64c", "title" : "Software Development Engineer, AWS Transform VMware", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 70000.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T07:27:58.312", "fingerprint" : "d94cbf1812e3a832ac890bebd7faf2bd0257373b152153f43861e329e96a66b2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10436385/apply", "externalId" : "eb1c94b1-31ae-4247-a83a-8a009f430b95", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AWS, AI, Machine Learning", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Software development", "System architecture", "Agentic solution development" ], "softSkillsList" : [ "Curiosity", "Responsibility", "Creativity" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "Agentic solution development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Responsibility" }, { "name" : "Creativity" } ], "majorSkills" : "Cloud migration, Agentic AI, Software development", "majorSkillsList" : [ "Cloud migration", "Agentic AI", "Software development" ], "coreResponsibilities" : "Design agentic solution, Build agentic solution, Accelerate customer journey to AWS, Migrate computing to AWS, Deliver reliable service, Deliver high-performance service, Interact with customers, Understand business goals, Innovate rapidly, Deliver high-quality functionality, Deliver ground-breaking functionality, Write code, Implement big ideas, Coach others, Raise code quality bar, Grow technical skills, Grow professional skills, Dig into operational issues, Help customers build web applications, Build foundational AI services, Deliver foundational AI services, Harness AI potential", "teamCollaboration" : "Work with others; Work with AI/ML practitioners; Work with applied scientists; Work with software engineers; Work with solution architects", "domainKnowledge" : "Cloud computing; Agentic AI; AI solutions; Cloud platform", "domainList" : [ "cloud-computing", "agentic-ai", "ai-solutions", "cloud-platform" ], "domainSpecificKnowledge" : [ "Cloud computing", "Agentic AI", "AI solutions", "Cloud platform" ], "continuousLearning" : "Mentorship; Career growth resources", "innovationCreativity" : "Innovate rapidly; Boundless creativity", "problemSolvingSkills" : "Dig into complex operational issues", "qualificationsBasic" : "3+ years non-internship professional software development experience, 2+ years non-internship design or architecture experience, Experience programming with at least one software programming language", "qualificationsPreferred" : "3+ years full software development life cycle experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to join a team of talented software engineers who are helping to revolutionize mobility to the cloud for their customers? AWS is seeking an exceptional developer to work on the challenging problem of accelerating our customer's journey from on-premises computing to running their businesses on AWS. As a software developer, you will be part of a team that designs and builds an agentic solution that helps large enterprise companies migrate their computing to AWS. Delivering a reliable and high-performance service at AWS scale requires engineers with extraordinary technical expertise and boundless creativity. At Amazon, we also expect engineers like you to interact with customers, to understand our business goals, and to innovate rapidly, delivering high-quality and ground-breaking functionality. What does it take to thrive as a developer at AWS? You need to be creative, curious, responsible, and able to work with others to rapidly turn an idea into working code. You're excited about writing code, implementing big ideas, and helping to coach those around you to raise the team's bar for code quality. You want the opportunity to grow your technical and professional skills while helping AWS grow. You relish the opportunity to dig into complex operational issues and to help customers build the next generation of web applications. You're someone who knows how to work hard and deliver results but is also able to have fun while they are doing it. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, Boston - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, AWS Transform VMware at Amazon Development Center U.S., Inc.. Skills: Cloud migration, Agentic AI, Software development. Design agentic solution. Build agentic solution", "postedDate" : "2026-06-13T14:35:28.333", "createdAt" : "2026-06-13T14:35:28.333", "lastUpdated" : "2026-06-15T07:27:58.312", "ingestTimestamp" : "2026-06-13T14:35:28.333", "mongoId" : "6a2176f674d8ee00a0c1b64c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10436385/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 194400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Software development", "System architecture", "Agentic solution development", "Curiosity", "Responsibility", "Creativity", "Cloud migration", "Agentic AI", "System design", "Reliability", "Scaling", "Cloud computing", "AI solutions", "Cloud platform" ], "skillCount" : 14, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a2a660574d8ee00a062b8a6", "title" : "Software Development Engineer, AWS Transform VMware", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 70000.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T03:09:46.998", "fingerprint" : "5b02a818ec4b1dd0817b1cb4e7f024a7489562b59cdc79efbf90ac9a6096f9bc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443727/apply", "externalId" : "dd271ea0-91c6-4a2f-8630-c64f1bf7f5b1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AWS, AI, Machine Learning", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Software development", "System architecture", "Agentic solution development" ], "softSkillsList" : [ "Curiosity", "Responsibility", "Creativity" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "Agentic solution development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Responsibility" }, { "name" : "Creativity" } ], "majorSkills" : "Cloud migration, Agentic AI, Software development", "majorSkillsList" : [ "Cloud migration", "Agentic AI", "Software development" ], "coreResponsibilities" : "Design agentic solution, Build agentic solution, Accelerate customer journey to AWS, Migrate computing to AWS, Deliver reliable service, Deliver high-performance service, Interact with customers, Understand business goals, Innovate rapidly, Deliver high-quality functionality, Deliver ground-breaking functionality, Write code, Implement big ideas, Coach others, Raise team's bar, Dig into operational issues, Help customers build applications, Build foundational AI services, Deliver foundational AI services, Harness potential of AI", "teamCollaboration" : "Work with others; Work backwards from customer needs", "domainKnowledge" : "Cloud computing; Artificial intelligence; Agentic AI", "domainList" : [ "cloud-computing", "artificial-intelligence", "agentic-ai" ], "domainSpecificKnowledge" : [ "Cloud computing", "Artificial intelligence", "Agentic AI" ], "continuousLearning" : "Grow technical skills; Grow professional skills", "innovationCreativity" : "Innovate rapidly; Boundless creativity", "problemSolvingSkills" : "Dig into complex operational issues", "outcomesObjectives" : "Revolutionize mobility to cloud; Transform businesses with AI", "qualificationsBasic" : "3+ years non-internship professional software development experience, 2+ years non-internship design or architecture experience, Experience programming with at least one software programming language", "qualificationsPreferred" : "3+ years full software development life cycle experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to join a team of talented software engineers who are helping to revolutionize mobility to the cloud for their customers? AWS is seeking an exceptional developer to work on the challenging problem of accelerating our customer's journey from on-premises computing to running their businesses on AWS. As a software developer, you will be part of a team that designs and builds an agentic solution that helps large enterprise companies migrate their computing to AWS. Delivering a reliable and high-performance service at AWS scale requires engineers with extraordinary technical expertise and boundless creativity. At Amazon, we also expect engineers like you to interact with customers, to understand our business goals, and to innovate rapidly, delivering high-quality and ground-breaking functionality. What does it take to thrive as a developer at AWS? You need to be creative, curious, responsible, and able to work with others to rapidly turn an idea into working code. You're excited about writing code, implementing big ideas, and helping to coach those around you to raise the team's bar for code quality. You want the opportunity to grow your technical and professional skills while helping AWS grow. You relish the opportunity to dig into complex operational issues and to help customers build the next generation of web applications. You're someone who knows how to work hard and deliver results but is also able to have fun while they are doing it. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, Boston - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, AWS Transform VMware at Amazon Development Center U.S., Inc.. Skills: Cloud migration, Agentic AI, Software development. Design agentic solution. Build agentic solution", "postedDate" : "2026-06-13T06:24:47.868", "createdAt" : "2026-06-13T06:24:47.868", "lastUpdated" : "2026-06-15T03:09:46.998", "ingestTimestamp" : "2026-06-13T06:24:47.868", "mongoId" : "6a2a660574d8ee00a062b8a6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443727/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 194400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Software development", "System architecture", "Agentic solution development", "Curiosity", "Responsibility", "Creativity", "Cloud migration", "Agentic AI", "System design", "Reliability", "Scaling", "Cloud computing", "Artificial intelligence" ], "skillCount" : 13, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a2ca49b74d8ee00a09b28f0", "title" : "Maintenance Technician - Make Ready", "company" : "Weinstein Properties", "industry" : "Real Estate", "salary" : { "min" : 20.0, "max" : 21.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Atlanta, GA", "locations" : [ "Atlanta", "GA" ], "certifications" : [ "EPA certification" ], "timestamp" : "2026-06-15T11:55:46.202", "fingerprint" : "0e94809f652ca407786375ad4ad4de9c81253b5556b02a31f7bebcb327f31372", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/weinsteinproperties/jobs/8001960", "externalId" : "8001960", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 1, "technicalSkills" : "HVAC troubleshooting, HVAC repair", "professionalSkills" : [ "Problem-solving", "Hands-on work" ], "hardSkillsList" : [ "Hand tools", "Power tools" ], "hardSkills" : [ { "name" : "Hand tools", "level" : "intermediate" }, { "name" : "Power tools", "level" : "intermediate" } ], "majorSkills" : "Apartment maintenance, Make ready process", "majorSkillsList" : [ "Apartment maintenance", "Make ready process" ], "coreResponsibilities" : "Complete turn process, Complete make ready process, Assist with maintenance work orders, Maintain property grounds, Maintain community appearance, Maintain grounds, Maintain amenities, Maintain pool areas, Keep property running smoothly", "teamCollaboration" : "Maintenance team", "domainKnowledge" : "Residential maintenance", "domainList" : [ "residential-maintenance" ], "domainSpecificKnowledge" : [ "Residential maintenance" ], "toolProficiency" : [ "Outlook", "Work order systems", "Hand tools", "Power tools" ], "continuousLearning" : "Train for HVAC certification", "problemSolvingSkills" : "Problem-solving", "specialRequirements" : "Reliable transportation, Drive a golf cart, Lift up to 75 lbs, Work indoors/outdoors, Climb stairs, Climb ladders, Rotating on-call schedule", "qualificationsBasic" : "1 year apartment maintenance experience, Willing to train for HVAC certification", "qualificationsPreferred" : "EPA certification Type II, Universal EPA certification, HVAC troubleshooting experience, HVAC repair experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Maintenance Technician – Make Ready \uD83D\uDCCD Bexley Powers Ferry | Atlanta, GA Why You’ll Want This Job Weinstein Properties is looking for a Maintenance Technician - Make Ready to join our team. This is a stable, long-term opportunity at a well-maintained community with strong leadership, competitive pay, and excellent benefits. If you enjoy hands-on work, problem-solving, and being part of a team that takes pride in its community, this could be a great fit. What We Offer Pay: starting at $20/hour | $21/hour (if you are or when you become EPA certified) On-call pay: $150/week (calls or no calls) Additional $150 per holiday on-call Quarterly bonus: Up to $980 based on property and team performance Benefits: Rent discount PTO, paid holidays, birthday time off Medical, dental, vision 401(k) with company match Employee Assistance Program Referral program Maintenance Technician - Make Ready Schedule Full-time: Monday–Friday, 8:00am–5:00pm (40 hours/week) Participation in a rotating emergency on-call schedule with the team What You’ll Be Doing Complete turn/make ready process of vacant apartments Assist team with maintenance work orders as needed Work with the team to maintain property grounds on a daily basis Help maintain the overall appearance of the community, including grounds, amenities, and pool areas Work collaboratively with the maintenance team to keep the property running smoothly What We’re Looking For At least 1 year of apartment or residential maintenance experience No HVAC certification required if you are willing to train and work towards getting certified EPA certification (Type II or Universal) and hands-on HVAC troubleshooting / repair experience is a plus! Strong customer service mindset and pride in your work Ability to work independently while being a reliable team player Comfortable working in a fast-paced environment and prioritizing tasks Physical & Technical Requirements Reliable transportation Comfortable using computers and mobile devices (Outlook, work order systems, etc.) Ability to drive a golf cart Ability to lift up to 75 lbs and work indoors/outdoors year-round Ability to climb stairs and ladders Experience using hand and power tools Background check required Why Weinstein Properties We own and manage our communities, which means: Consistent standards Supportive leadership Real opportunities for advancement Many of our team members grow their careers here—and we actively support that growth. Interested? If this sounds like the right opportunity for you, apply online today. If you’re looking for stability, growth, and a team that values your skills, we’d love to talk.", "summaryDescription" : "Maintenance Technician - Make Ready at Weinstein Properties. Skills: Apartment maintenance, Make ready process. Complete turn process. Complete make ready process", "postedDate" : "2026-06-14T03:45:30.457", "createdAt" : "2026-06-14T03:45:30.457", "lastUpdated" : "2026-06-15T11:55:46.202", "ingestTimestamp" : "2026-06-14T03:45:30.457", "mongoId" : "6a2ca49b74d8ee00a09b28f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 43680, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Hand tools", "Power tools", "Apartment maintenance", "Make ready process", "Problem-solving", "Hands-on work", "Residential maintenance", "EPA certification", "Outlook", "Work order systems" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c967874d8ee00a098fa9b", "title" : "Senior Associate, Raw Materials - Trim", "company" : "FIGS", "industry" : "Outdoor & Apparel", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Associate, Raw Materials - Trim in Santa Monica, United States, adjusted for mid-seniority and the apparel industry." }, "location" : "Santa Monica, California, United States", "locations" : [ "Santa Monica", "California", "United States" ], "timestamp" : "2026-06-15T12:08:45.747", "fingerprint" : "88e2fe7501790ec7a252402ef273f8fe34fac43aca1829f1b9462992b5618ee4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.wearfigs.com/pages/jobs?gh_jid=8588273002", "externalId" : "8588273002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Santa Monica", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0194704,-118.4912270" } ], "locationText" : "Santa Monica, California, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Trim development, Trim testing, PLM system, Adobe Illustrator", "professionalSkills" : [ "Supplier relationship management", "Trend research", "Colorway development" ], "hardSkillsList" : [ "Trim testing expertise", "Compliance knowledge" ], "softSkillsList" : [ "Leadership", "Creative approach" ], "hardSkills" : [ { "name" : "Trim testing expertise", "level" : "intermediate" }, { "name" : "Compliance knowledge", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Creative approach" } ], "majorSkills" : "Raw materials development, Trim sourcing, Packaging development", "majorSkillsList" : [ "Raw materials development", "Trim sourcing", "Packaging development" ], "coreResponsibilities" : "Source and develop trim, Develop packaging, Own development to commercialization, Vet new artwork for feasibility, Provide technical feedback, Build and manage supplier relationships, Recommend alternatives, Develop new colorways, Conduct trend research, Establish trim library, Manage trim library, Maintain trim library, Ensure timely creation of PLM system, Ensure upkeep of PLM system, Manage quality approval of developments, Ensure trackers are up to date, Alert management of potential delays, Prepare seasonal trend forecasts, Present seasonal trend forecasts, Ensure trim meets testing protocols, Ensure packaging meets testing protocols, Ensure trim meets inspection protocols, Ensure packaging meets inspection protocols, Maintain collaborative partnerships, Maintain partnerships with vendors, Address development issues proactively, Ensure proper internal communication, Ensure proper external communication, Book production quantities, Manage quality approval of trim, Manage tracking of trim, Manage testing of trim, Manage inspection of trim", "teamCollaboration" : "Work closely with Design; Collaborative team environment; Collaborative partnerships with vendors; Internal communication", "projectManagementSkills" : [ "Development to commercialization" ], "domainKnowledge" : "Trim; Packaging; Garment development; Handbag development; Colorways; Compliance; Substances of high concern", "domainList" : [ "trim", "packaging", "garment-development", "handbag-development", "colorways", "compliance", "substances-of-high-concern" ], "domainSpecificKnowledge" : [ "Trim", "Packaging", "Garment development", "Handbag development", "Colorways", "Compliance", "Substances of high concern" ], "toolProficiency" : [ "PLM", "Excel", "Adobe Illustrator", "MS Office" ], "communicationSkills" : "Technical feedback; Present forecasts", "documentationSkills" : "Maintain trim library", "innovationCreativity" : "Creative approach", "problemSolvingSkills" : "Analyze relevant data; Determine course of action; Generate solutions; Problem solving", "specialRequirements" : "Lift and handle packages in excess of 40 lbs", "outcomesObjectives" : "Ensure alignment with strategic vision; Ensure timely creation and upkeep of PLM; Ensure timely and accurate quality approval; Ensure all trackers are up to date; Ensure trim and packaging meet protocols", "qualificationsBasic" : "3+ years of experience, Knowledge of trim development, Identify issues and analyze data, Knowledge of trim testing requirements, Deadline driven, Proactive and creative approach, Excellent organizational skills, Excellent communication skills, Excellent follow-up skills, Attention to detail, Ability to juggle multiple deadlines, Ability to juggle multiple tasks, Sense of urgency, Intuitive sense of priorities, Intuitive sense of accuracy, Proficient in PLM, Proficient in data bases, Proficient in Excel, Proficient in Adobe Illustrator, Proficient in MS Office, Command of written English, Command of spoken English, Lift and handle packages in excess of 40 lbs", "qualificationsPreferred" : "Bachelor’s Degree in Apparel, Textiles or Merchandising or related field, Superior Color Vision", "workSiteFlexibility" : "Onsite", "rawDescription" : "FIGS is hiring a Senior Associate, Raw Materials - Trim to play an integral role in a fast-growing medical apparel company. We are looking for someone who has a desire to lead, tackles projects with attention to detail and a creative approach, and inspires others with a positive can-do attitude. This position is for someone who wants to jump in headfirst to make an immediate impact and work in a collaborative team environment. We are looking for someone with a strong technical knowledge of trim, packaging and its testing & inspection standards. This role reports to the Manager, Raw Materials What You’ll Do: Work closely with Design to source and develop seasonal and CORE trim & packaging for garment and accessories including handbags Owns development to commercialization to ensure alignment with the strategic vision of the FIGS brand Vet new artwork for feasibility and provide technical feedback to design High technical knowledge of trim Trim testing expertise Knowledge of compliance and substances of high concern Build and manage supplier relationships Recommend alternatives when cost, timing, or quality become issues Developing new colorways in trim artwork Trend research Establish, manage and maintain comprehensive trim library Ensure the timely creation and upkeep of PLM system Manage the quality approval of developments in a timely and accurate manner Ensure all trackers are up to date and alert management of potential delays Prepare and present seasonal trend forecasts Ensure that all developed trim & packaging meet FIGS testing and inspection protocols for quality and wash requirements Maintain collaborative and strong partnerships with key strategic vendors Responsible for proactively addressing any development issues and ensuring proper communication internally and externally that all are buy-ready. Book production quantities with RMS as needed ahead of PO Manage all quality approval, tracking, testing and inspection of trim production Qualifications: Bachelor’s Degree in Apparel, Textiles or Merchandising or related field preferred 3+ years of experience in the fashion industry with a knowledge of trim development for garments and handbags Must be able to identify issues and analyze relevant data to determine the correct and appropriate course of action and generate solutions Strong knowledge of trim testing requirements Must be deadline driven and have a proactive and creative approach to problem solving Excellent organizational, communication, follow-up skills and attention to detail Ability to juggle multiple deadlines and tasks in a fast paced environment Strong sense of urgency and intuitive sense of priorities & accuracy Proficient in PLM, data bases, Excel, Adobe Illustrator and MS Office applications Superior Color Vision is an advantage Strong command of written and spoken English Must be able to lift and handle packages in excess of 40 lbs Not afraid to roll up your sleeves and dive in! FIGS Compensation and Benefits Pay Range At FIGS, your base salary is one part of your total compensation package. This role's base salary range is between $75,000 and $85,000. Actual base salary is determined based on a number of factors, including but not limited to your relevant skills, qualifications, and years of experience. Additional Compensation and Benefits Equity: FIGS provides a discount when purchasing FIGS stock voluntarily through our FIGS Employee Stock Purchase Plan Other compensation and benefits offered include: Comprehensive benefits and perks package focused on your well-being, including premium medical, dental and vision coverage, and full access to wellness services through Breethe and Classpass. 100% FIGS-sponsored life insurance and disability insurance Amazing 401(k) program, with a company match up to the first 6% of your contribution Generous paid time off - We have 12 company holidays. For salaried team members, we offer flexible vacation. For our hourly team members, we offer up to 3 weeks of accrued vacation Meaningful time away for baby bonding, including parental leave, new parent care meals, and a transition back to work for primary caregivers FIGS sponsored Uber Eats voucher for in-office weeks Personalized discount code for 50% off all FIGS products, along with a separate code to share with family and friends to enjoy a 25% discount site-wide Access to FIGS Vet, Discounted Pet Daycare, Discounted Pet Insurance, and so much more… *Benefits eligibility is determined by hour requirements and length of service A little bit about us… FIGS, Inc. is a founder-led, direct-to-consumer healthcare apparel and lifestyle brand that seeks to celebrate, empower and serve current and future generations of healthcare professionals. We redefine what scrubs are by creating technically advanced apparel and products that feature an unmatched combination of comfort, durability, function and style, all at an affordable price. With the largest DTC platform in healthcare apparel, we sell our products to a rapidly growing community of loyal customers. Through these customer relationships, FIGS has built a community and lifestyle around a profession, revolutionizing the large and fragmented healthcare apparel market and becoming the industry’s category-defining healthcare apparel and lifestyle brand. Our Threads for Threads initiative is integral to our mission to improve the lives of healthcare professionals on a global scale. Founded alongside FIGS in 2013, Threads for Threads donates scrubs to healthcare professionals working in resource-poor countries around the world. FIGS considers all Qualified Applicants, including those with Criminal Histories (e.g., arrests or conviction records), for Employment in accordance with applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about how we process information in connection with your application, view our Employee & Applicant Privacy Policy linked in the footer below.", "summaryDescription" : "Senior Associate, Raw Materials - Trim at FIGS. Skills: Raw materials development, Trim sourcing, Packaging development. Source and develop trim. Develop packaging", "postedDate" : "2026-06-14T03:58:34.128", "createdAt" : "2026-06-14T03:58:34.128", "lastUpdated" : "2026-06-15T12:08:45.747", "ingestTimestamp" : "2026-06-14T03:58:34.128", "mongoId" : "6a2c967874d8ee00a098fa9b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Trim testing expertise", "Compliance knowledge", "Leadership", "Creative approach", "Raw materials development", "Trim sourcing", "Packaging development", "Supplier relationship management", "Trend research", "Colorway development", "Development to commercialization", "Trim", "Packaging", "Garment development", "Handbag development", "Colorways", "Compliance", "Substances of high concern", "PLM", "Excel", "Adobe Illustrator", "MS Office" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Apparel & Fashion", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a714374d8ee00a0648c3f", "title" : "Linguist - Chinese into English (Medical)", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Linguist in the US Healthcare industry, adjusted for remote work and contract employment." }, "location" : "USA (Remote)", "locations" : [ "USA (Remote)" ], "timestamp" : "2026-06-14T20:05:16.652", "fingerprint" : "e0e35a60fd2c07f3da8e8cb1ec84b8d5322df665e58297f3121dee6c64a4c72d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/9321e2fc-cdbc-4aab-a0d4-427ce4ba6727/application", "externalId" : "9321e2fc-cdbc-4aab-a0d4-427ce4ba6727", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "minimumEducation" : "Graduate", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Life Sciences Expertise", "Regulatory Review", "Medical content translation", "Regulatory content translation" ], "hardSkillsList" : [ "Translation", "Localization" ], "hardSkills" : [ { "name" : "Translation", "level" : "intermediate" }, { "name" : "Localization", "level" : "intermediate" } ], "majorSkills" : "Medical translation, Life Sciences translation, Regulatory compliance", "majorSkillsList" : [ "Medical translation", "Life Sciences translation", "Regulatory compliance" ], "coreResponsibilities" : "Adapt target text to meet compliance standards, Validate target text to meet compliance standards, Translate for pharmaceuticals, Translate for medical devices, Translate for biotechnology, Work within strict GxP environments, Adhere to ISO 17100 quality standards", "domainKnowledge" : "Clinical protocols; Pharmacovigilance; Labelling regulations; GxP environments; ISO 17100 quality standards; FDA compliance; EMA compliance; PMDA compliance", "domainList" : [ "clinical-protocols", "pharmacovigilance", "labelling-regulations", "gxp-environments", "iso-17100-quality-standards", "fda-compliance", "ema-compliance", "pmda-compliance" ], "domainSpecificKnowledge" : [ "Clinical protocols", "Pharmacovigilance", "Labelling regulations", "GxP environments", "ISO 17100 quality standards", "FDA compliance", "EMA compliance", "PMDA compliance" ], "qualificationsBasic" : "Native-level proficiency in target language, Graduate qualification in translation, linguistics, or language studies, Graduate qualification in another field plus 2 years professional translation experience, 5 years of full-time professional translation experience, Ability to follow terminology and reference materials precisely, Professional experience in translation and localization within Medical/Life Sciences domains", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are currently searching for linguists to join our Medical Talent Community. Given the highly regulated nature of the products in the American market, we are looking for senior linguists with a proven track record specifically within the Life Sciences vertical. We prioritize linguists who understand the nuances of [e.g., Clinical protocols / Pharmacovigilance / Labelling regulations]. Your specialized expertise will contribute to high-stakes medical and regulatory content. WHAT YOU’LL DELIVER - Regulatory Review: Adapting and validating target text to meet [e.g., PMDA / EMA / FDA] compliance standards. - Life Sciences Expertise: Demonstrable experience in translating for pharmaceuticals, medical devices, or biotechnology. - Standard Operating Procedures: Ability to work within strict GxP environments and adhere to ISO 17100 quality standards. QUALIFICATIONS - Native-level proficiency in the target language(s) - A graduate qualification in translation, linguistics, or language studies, OR - A graduate qualification in another field plus 2 years of full-time professional translation experience, OR - 5 years of full-time professional translation experience. - The ability to follow terminology and reference materials precisely. - Professional experience in translation and localization within the Medical/Life Sciences domains. WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor, you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR LIFE SCIENCES COMMUNITY To ensure we meet our client's regulatory obligations, all Life Sciences partners must complete the following: Step 1: Apply with the English-language version of your Resume/C.V. Step 2: Experience Verification: Providing a project list or references highlighting past work in regulated medical markets. Step 3: Compliance Audit: Confirmation of familiarity with relevant local regulations (e.g., the American Pharmaceutical and Medical Devices Act for American-bound content). Step 4: Specialized Assessment: Completion of a domain-specific translation or review test. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Linguist - Chinese into English (Medical) at LILT. Skills: Medical translation, Life Sciences translation, Regulatory compliance. Adapt target text to meet compliance standards. Validate target text to meet compliance standards", "postedDate" : "2026-06-11T17:42:14.796", "createdAt" : "2026-06-11T17:42:14.796", "lastUpdated" : "2026-06-14T20:05:16.652", "ingestTimestamp" : "2026-06-11T17:42:14.796", "mongoId" : "6a2a714374d8ee00a0648c3f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Translation", "Localization", "Medical translation", "Life Sciences translation", "Regulatory compliance", "Life Sciences Expertise", "Regulatory Review", "Medical content translation", "Regulatory content translation", "Clinical protocols", "Pharmacovigilance", "Labelling regulations", "GxP environments", "ISO 17100 quality standards", "FDA compliance", "EMA compliance", "PMDA compliance" ], "skillCount" : 17, "jobCategory" : "other", "jobSubcategory" : "liltlancer-community", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Life Sciences" }, { "id" : "6a16291c58b93c861e95a0b2", "title" : "BIM Model Manager", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 115500.0, "max" : 156500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level BIM Model Manager in Kansas City, adjusted for industry and company size." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-15T09:28:20.900", "fingerprint" : "508a1f33555c3ac10a24eef1843ab0b4b551ccda6549d465b6affc607fb7a21f", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=779592", "externalId" : "779592", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kansas City", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.1001050,-94.5781416" } ], "locationText" : "Kansas City, Missouri, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "3D design software, Document management, 3D Coordination tools, Microsoft Office, Automation applications, Programming applications", "professionalSkills" : [ "Client service", "Presentation skills", "Analytical skills", "Problem-solving skills" ], "hardSkillsList" : [ "Digital design", "Digital delivery", "Building systems operations", "3D design", "Document management", "3D Coordination", "Microsoft Office", "Automation", "Programming" ], "hardSkills" : [ { "name" : "Digital design", "level" : "intermediate" }, { "name" : "Digital delivery", "level" : "intermediate" }, { "name" : "Building systems operations", "level" : "intermediate" }, { "name" : "3D design", "level" : "intermediate" }, { "name" : "Document management", "level" : "intermediate" }, { "name" : "3D Coordination", "level" : "intermediate" }, { "name" : "Microsoft Office", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" } ], "majorSkills" : "BIM Model Management, Digital Delivery, 3D Coordination", "majorSkillsList" : [ "BIM Model Management", "Digital Delivery", "3D Coordination" ], "coreResponsibilities" : "Serve as first line technical support", "domainKnowledge" : "Building systems; Industry standards; Discipline codes; Specifications", "domainList" : [ "building-systems", "industry-standards", "discipline-codes", "specifications" ], "domainSpecificKnowledge" : [ "Building systems", "Industry standards", "Discipline codes", "Specifications" ], "toolProficiency" : [ "3D design software", "Document management infrastructure", "3D Coordination tools", "Microsoft Office", "Communication tools" ], "communicationSkills" : "Client service; Communication; Presentation skills", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "qualificationsBasic" : "Technical degree or education/experience combination, 5 years digital design experience, 3 years digital delivery experience, Understanding of discipline relations, Understanding of building systems operations, Advanced skillset 3D design software, Advanced skillset document management infrastructure, Advanced skillset 3D Coordination tools, Advanced skillset Microsoft Office products, Advanced skillset communication tools, Familiar with industry standards, Familiar with discipline codes, Familiar with specifications, Familiar with basic automation, Familiar with programming applications, Familiar with 3D design software add-ins, Familiar with supporting applications, Familiar with content creation concepts, Familiar with content management concepts, Superior client service skills, Superior communication skills, Superior presentation skills, Analytical skills, Problem-solving skills", "remoteFriendly" : false, "rawDescription" : "Required Qualifications Technical degree or a combination of education and relevant experience A minimum of 5 years digital design (BIM element authoring) and 3 years digital delivery (model management) experience Comprehensive understanding of all discipline relations and operations of building systems Advanced skillset of 3D design software and document management infrastructure Advanced skillset of 3D Coordination tools Advanced skillset of Microsoft Office products and communication tools Familiar with industry standards and practices, along with discipline codes and specifications Familiar with basic automation and programming applications for efficiencies Familiar with 3D design software add-ins and supporting applications Familiar with content creation and management concepts Superior client service, communication, and presentation skills are essential Demonstrate strong analytical and problem-solving skills to effectively serve as a first line of technical support What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Missouri-Kansas City", "summaryDescription" : "BIM Model Manager at HDR. Skills: BIM Model Management, Digital Delivery, 3D Coordination. Serve as first line technical support", "createdAt" : "2026-06-14T07:35:22.857", "lastUpdated" : "2026-06-15T09:28:20.900", "ingestTimestamp" : "2026-06-14T07:35:22.857", "mongoId" : "6a16291c58b93c861e95a0b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115500, "salaryAnnualMax" : 156500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Digital design", "Digital delivery", "Building systems operations", "3D design", "Document management", "3D Coordination", "Microsoft Office", "Automation", "Programming", "BIM Model Management", "Digital Delivery", "Client service", "Presentation skills", "Analytical skills", "Problem-solving skills", "Building systems", "Industry standards", "Discipline codes", "Specifications", "3D design software", "Document management infrastructure", "3D Coordination tools", "Communication tools" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291c58b93c861e95a185", "title" : "BIM Model Manager", "company" : "HDR", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level BIM Model Manager in Saint Louis Park, United States, adjusted for industry and company size." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-15T13:54:46.357", "fingerprint" : "a6827cf4c323ab181834c27af180c56334dc23f2deb47e887dc244387a8db99f", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=776554", "externalId" : "776554", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Saint Louis Park", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9475726,-93.3569023" } ], "locationText" : "Saint Louis Park, Minnesota, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Technical degree", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "3D design software, Document management, 3D coordination tools, Microsoft Office, Automation applications, Programming applications", "professionalSkills" : [ "Client service", "Presentation skills", "Analytical skills", "Problem-solving skills" ], "hardSkillsList" : [ "Digital design", "Digital delivery", "3D design", "Document management", "3D coordination", "Automation", "Programming" ], "hardSkills" : [ { "name" : "Digital design", "level" : "intermediate" }, { "name" : "Digital delivery", "level" : "intermediate" }, { "name" : "3D design", "level" : "intermediate" }, { "name" : "Document management", "level" : "intermediate" }, { "name" : "3D coordination", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" } ], "majorSkills" : "BIM model management, Digital design, Digital delivery", "majorSkillsList" : [ "BIM model management", "Digital design", "Digital delivery" ], "coreResponsibilities" : "Manage BIM models, Provide technical support", "teamCollaboration" : "Collaborative culture; Organizational trust", "domainKnowledge" : "Building systems; Industry standards; Discipline codes; Specifications", "domainList" : [ "building-systems", "industry-standards", "discipline-codes", "specifications" ], "domainSpecificKnowledge" : [ "Building systems", "Industry standards", "Discipline codes", "Specifications" ], "toolProficiency" : [ "3D design software", "Document management infrastructure", "3D coordination tools", "Microsoft Office products", "Communication tools" ], "communicationSkills" : "Client service; Communication; Presentation skills", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "Technical degree or relevant experience, 5 years digital design experience, 3 years digital delivery experience, Understanding of discipline relations, Understanding of building systems operations, Advanced skillset 3D design software, Advanced skillset document management infrastructure, Advanced skillset 3D coordination tools, Advanced skillset Microsoft Office products, Advanced skillset communication tools, Familiar with industry standards, Familiar with discipline codes, Familiar with specifications, Familiar with basic automation, Familiar with programming applications, Familiar with 3D design add-ins, Familiar with supporting applications, Familiar with content creation concepts, Familiar with content management concepts, Superior client service skills, Superior communication skills, Superior presentation skills, Analytical skills, Problem-solving skills", "qualificationsPreferred" : "Serve as first line technical support", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Technical degree or a combination of education and relevant experience A minimum of 5 years digital design (BIM element authoring) and 3 years digital delivery (model management) experience Comprehensive understanding of all discipline relations and operations of building systems Advanced skillset of 3D design software and document management infrastructure Advanced skillset of 3D Coordination tools Advanced skillset of Microsoft Office products and communication tools Familiar with industry standards and practices, along with discipline codes and specifications Familiar with basic automation and programming applications for efficiencies Familiar with 3D design software add-ins and supporting applications Familiar with content creation and management concepts Superior client service, communication, and presentation skills are essential Demonstrate strong analytical and problem-solving skills to effectively serve as a first line of technical support What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Minnesota-Saint Louis Park", "summaryDescription" : "BIM Model Manager at HDR. Skills: BIM model management, Digital design, Digital delivery. Manage BIM models. Provide technical support", "createdAt" : "2026-06-14T06:14:16.641", "lastUpdated" : "2026-06-15T13:54:46.357", "ingestTimestamp" : "2026-06-14T06:14:16.641", "mongoId" : "6a16291c58b93c861e95a185", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Digital design", "Digital delivery", "3D design", "Document management", "3D coordination", "Automation", "Programming", "BIM model management", "Client service", "Presentation skills", "Analytical skills", "Problem-solving skills", "Building systems", "Industry standards", "Discipline codes", "Specifications", "3D design software", "Document management infrastructure", "3D coordination tools", "Microsoft Office products", "Communication tools" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c92b974d8ee00a098667e", "title" : "Anaplan Model Builder", "company" : "Attentive", "industry" : "Technology", "salary" : { "min" : 112000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T07:13:55.962", "fingerprint" : "521ac676fd7d2c9c0abff923a9c3a397ed82a4140abe79ce53bebe3623b29950", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/attentive/jobs/4183377009", "externalId" : "4183377009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Anaplan", "professionalSkills" : [ "EPM solutions", "System Experience" ], "hardSkillsList" : [ "Model building" ], "softSkillsList" : [ "Communicator", "Presenter", "Strategic Thinking" ], "hardSkills" : [ { "name" : "Model building", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communicator" }, { "name" : "Presenter" }, { "name" : "Strategic Thinking" } ], "majorSkills" : "Anaplan Model Builder", "majorSkillsList" : [ "Anaplan Model Builder" ], "coreResponsibilities" : "Build scalable EPM solutions, Implement scalable EPM solutions", "teamCollaboration" : "Finance; Go-To-Market; HR; EPM team; Team members; Internal stakeholders", "toolProficiency" : [ "Anaplan" ], "communicationSkills" : "Written communication; Visual communication; Messaging; Present complex concepts", "qualificationsBasic" : "5+ years Anaplan experience", "qualificationsPreferred" : "Experience with NetSuite, Experience with Salesforce, Experience with ADP Workforce Now, Experience with Greenhouse, Experience with Crunchr, Experience with Looker, Experience with Snowflake", "remoteFriendly" : true, "rawDescription" : "Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index! About the Role Attentive is seeking a high-impact Anaplan model builder to join our Corporate FP building and implementing scalable EPM solutions across Finance, Go-To-Market, and HR System Experience: Our EPM team interfaces and leverages data from many of Attentive’s key systems. Some key systems include: NetSuite, Salesforce, ADP Workforce Now, Greenhouse, Crunchr, Looker, and Snowflake. Experience with these applications is a plus Strong Communicator & Presenter: Excels in written and visual communication and messaging. Ability to comfortably present complex concepts to team members and internal stakeholders in a simple and concise manner to drive alignment is critical Strategic Thinking: Ability to think about implications of strategic choices and their impact on both upstream and downstream people and processes You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work. For US based applicants: The US base salary range for this full-time position is $112,000 - $155,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-MM1 By applying for this position, your data will be processed as per Attentive's Privacy Policy. Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE, Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.", "summaryDescription" : "Anaplan Model Builder at Attentive. Skills: Anaplan Model Builder. Build scalable EPM solutions. Implement scalable EPM solutions", "postedDate" : "2026-06-13T22:19:32.608", "createdAt" : "2026-06-13T22:19:32.608", "lastUpdated" : "2026-06-15T07:13:55.962", "ingestTimestamp" : "2026-06-13T22:19:32.608", "mongoId" : "6a2c92b974d8ee00a098667e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Model building", "Communicator", "Presenter", "Strategic Thinking", "Anaplan Model Builder", "EPM solutions", "System Experience", "Anaplan" ], "skillCount" : 8, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6949b14570f0b99d5882712b", "title" : "Para Future Ready Advocate", "industry" : "Education", "salary" : { "min" : 20000.0, "max" : 35000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level, part-time position in the education industry in Alvin, TX, adjusted for seniority and employment type." }, "location" : "Alvin E. Morris Administrative Center (AMAC)", "locations" : [ "Alvin E. Morris Administrative Center (AMAC)", "903 S. Edgemoor", "67218" ], "timestamp" : "2026-06-15T08:23:07.739", "fingerprint" : "0dc34258b2877bbd5fd900c56b53f6769b9e1a9e25049fa17ec7406796f1ef26", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa308.taleo.net/careersection/ex/jobdetail.ftl?job=87993", "externalId" : "87993", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alvin E. Morris Administrative Center (AMAC)", "state" : "Kansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.2731200,-98.5821872" } ], "locationText" : "Alvin E. Morris Administrative Center (AMAC), Kansas, United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "professionalSkills" : [ "Team player", "Planning", "Organization", "Decision making", "Prioritization" ], "hardSkillsList" : [ "Student success planning", "Mentoring", "Counseling" ], "softSkillsList" : [ "Professional manner", "Good judgment", "Confidentiality", "Tact", "Diplomacy" ], "hardSkills" : [ { "name" : "Student success planning", "level" : "intermediate" }, { "name" : "Mentoring", "level" : "intermediate" }, { "name" : "Counseling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Professional manner" }, { "name" : "Good judgment" }, { "name" : "Confidentiality" }, { "name" : "Tact" }, { "name" : "Diplomacy" } ], "majorSkills" : "Student advocacy, Relationship building, Resource coordination", "majorSkillsList" : [ "Student advocacy", "Relationship building", "Resource coordination" ], "coreResponsibilities" : "Work with school staff, Build relationships with students, Develop student success plans, Monitor student progress, Build connection between students, families, and school, Link students to resources, Coordinate school and community services, Provide counseling, Refer students to counselor, Establish group mentoring sessions, Establish mentoring sessions with youth, Respond to students within 24 hours, Conduct home visits", "teamCollaboration" : "Office of Equity, Diversity, and Accountability team; School staff; Parents/guardians; Teachers; Administrators; Community resources", "domainKnowledge" : "At-Risk students", "domainList" : [ "at-risk-students" ], "domainSpecificKnowledge" : [ "At-Risk students" ], "toolProficiency" : [ "SMART boards", "IPads", "Computers", "Copiers", "Scanners", "Fax machine" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Student success plans", "specialRequirements" : "Occasional overtime, Home visits during non-school hours, Evening and weekend availability, Occasional travel, Travel between schools, Work in standard office and school building environment, Attendance at required meetings", "outcomesObjectives" : "Measurable goals and outcomes", "qualificationsBasic" : "48 accredited college credits or pass assessment", "qualificationsPreferred" : "High School Diploma or GED", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Para Future Ready Advocate Position Function: The purpose of the Future Ready Advocate is to serve schools that have a disproportionate rate of suspension of At-Risk students. The Advocate will be a pivotal member of the Office of Equity, Diversity, and Accountability team that works collaboratively to address the needs of At-Risk students. The work of the Future Ready Advocate may extend beyond the school setting to include residential and community settings. Working with parents/guardians, teachers, and administrators the Future Ready Advocate will implement strategies that build positive relationships with At-Risk students utilizing school and community resources. Essential Performance Responsibilities: Works with key school staff for the benefit of students. Builds strong relationships with students who are considered at risk due to academics, behaviors & attendance Develops individualized student success plans for each student that they work with that includes measurable goals and outcomes Monitors their student's attendance, behavior and academic progress regularly Builds a connection between students, families and school personnel Acts as the \"go-to person\" at school for the student Links students to appropriate resources in the school and community Coordinates services from the school and community Provides counseling for specific needs or refer the student to a counselor in the school or community Establishes group mentoring sessions with at risk young students using district approved training and resources. Establishes mentoring sessions with youth who are considered at-risk due to suspensions, behaviors or academics. Responds to students within 24 hours and is available to conduct home visits with students during non-school hours including evenings and weekends. Additional Duties: Assists with additional duties as assigned by supervisor. Equipment: This position may require the ability to use SMART boards and iPads in addition to basic office equipment such as computers, copiers, scanners, and fax machine. Must always comply with USD 259's guidelines for equipment use. Travel: Occasional visits to students' homes will be required. Travel between schools and central offices will be required. Physical and Mental Demands: Work in standard office and school building environment Occasional overtime Attendance at required meetings Additional demands upon request of supervisor Knowledge, Skills, and Abilities: Ability to communicate both verbally and written in order to communicate with others inside and outside of the organization for the purpose of giving and obtaining information Ability to communicate effectively with a supervisor when their discretion is needed Ability to perform as an effective team player Ability to plan, organize, make decisions and prioritize work to meet the daily demands of the building Exhibit a professional manner and a positive attitude Use good judgment to make decisions on recurring assignments Display a significant degree of professionalism and confidentiality Ability to conform to proper standards of professional dress and appearance Knowledge of company's mission, purpose, goals and the role of every employee in achieving each of them Interrelations: Contact with personnel within the district and with customers and vendors Will be working under the direct supervision of the department supervisor in order to complete day to day tasks Will be working with a diverse population requiring the ability to handle all situations with tact and diplomacy Must understand and respond appropriately to customer needs and maintain a positive attitude with all customers and colleagues Expected to interact with all internal and external customers in a friendly, professional manner and provide quick, responsive customer service Employee Punctuality and Appearance: In order for schools to operate effectively, employees are expected to perform all assigned duties and work all scheduled hours during each designated workday, unless the employee has received approved leave Any deviation from assigned hours must have prior approval from the employee's supervisor or building administrator All employees are required to report to work dressed in a manner that reflects a positive image of USD 259 and is appropriate for their position Qualification Profile: High School Diploma or GED preferred Paras working in a Title School must have a minimum of 48 accredited college credits verifiable with a transcript or pass a state approved assessment FLSA Status: Non-Exempt", "summaryDescription" : "Para Future Ready Advocate. Skills: Student advocacy, Relationship building, Resource coordination. Work with school staff. Build relationships with students", "createdAt" : "2026-06-14T00:58:26.596", "lastUpdated" : "2026-06-15T08:23:07.739", "ingestTimestamp" : "2026-06-14T00:58:26.596", "mongoId" : "6949b14570f0b99d5882712b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 20000, "salaryAnnualMax" : 35000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Student success planning", "Mentoring", "Counseling", "Professional manner", "Good judgment", "Confidentiality", "Tact", "Diplomacy", "Student advocacy", "Relationship building", "Resource coordination", "Team player", "Planning", "Organization", "Decision making", "Prioritization", "At-Risk students", "SMART boards", "IPads", "Computers", "Copiers", "Scanners", "Fax machine" ], "skillCount" : 23, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2a4e1a74d8ee00a05ee51c", "title" : "Thesis Digital Pallet Model Integration into an Overall Plant Simulation", "company" : "STOW Group", "industry" : "Industrial Automation", "salary" : { "min" : 48000.0, "max" : 62000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry level in Manufacturing in Lokeren, Belgium, adjusted for company size and industry." }, "location" : "Lokeren, Vlaanderen, BE", "locations" : [ "Lokeren", "Vlaanderen", "BE" ], "timestamp" : "2026-06-15T00:40:13.367", "fingerprint" : "994b1c2ada2f8394f1e069bc1605c5987ef68268ab95a6b218b3a9509dead003", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/StowGroup/744000131052165-thesis-digital-pallet-model-integration-into-an-overall-plant-simulation-", "externalId" : "744000131052165", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lokeren", "state" : "Vlaanderen", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.1044488,3.9898689" } ], "locationText" : "Lokeren, Vlaanderen, Belgium", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python", "professionalSkills" : [ "Industrial automation", "Robotics", "Product development", "Data management" ], "hardSkillsList" : [ "Parametric modeling", "Data acquisition", "Data transformation", "Database design", "Regression testing", "ETL routines", "Validation rules" ], "hardSkills" : [ { "name" : "Parametric modeling", "level" : "intermediate" }, { "name" : "Data acquisition", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Database design", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "ETL routines", "level" : "intermediate" }, { "name" : "Validation rules", "level" : "intermediate" } ], "majorSkills" : "Plant simulation, Data integration, Robotics", "majorSkillsList" : [ "Plant simulation", "Data integration", "Robotics" ], "coreResponsibilities" : "Design data framework, Implement data framework, Capture test data, Normalize test data, Integrate test data, Develop data pipeline, Extract measurements, Reformat data, Incorporate validation rules, Extend plant model, Parameterize simulation module, Execute regression tests, Characterize special pallets, Establish pallet database, Support traceability, Support version control, Support data retrieval", "teamCollaboration" : "Engineering teams; Quality stakeholders; Operations stakeholders", "domainKnowledge" : "Intralogistics; Automated logistics; Warehouse environments; Plant control software; Pallet types; Edge cases; Simulation models; Data engineering; Database architecture; Versioning strategies; Access protocols; Software release cycles; Digital pallet profiles", "domainList" : [ "intralogistics", "automated-logistics", "warehouse-environments", "plant-control-software", "pallet-types", "edge-cases", "simulation-models", "data-engineering", "database-architecture", "versioning-strategies", "access-protocols", "software-release-cycles", "digital-pallet-profiles" ], "domainSpecificKnowledge" : [ "Intralogistics", "Automated logistics", "Warehouse environments", "Plant control software", "Pallet types", "Edge cases", "Simulation models", "Data engineering", "Database architecture", "Versioning strategies", "Access protocols", "Software release cycles", "Digital pallet profiles" ], "innovationCreativity" : "Ambitious growth; State-of-the-art robots", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Accelerate software release cycle; Reduce operational risk; Decrease physical testing overhead; Build reusable repository; Enrich simulation capabilities", "qualificationsBasic" : "Programming +++, Product development +, Data management ++", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Movu Robotics Innovation, ambitious growth, technology, state-of-the-art robots – that’s Movu Robotics in a nutshell. Due to the in-house design and manufacturing process of our systems, an exciting, hands-on work environment with plenty of challenges and advancement opportunities is guaranteed. Will you help shape the future of intralogistics? Problem statement In modern automated logistics and warehouse environments, plant control software must operate reliably across a wide variety of pallet types, each with distinct physical and dimensional properties. Currently, no structured digital representation of pallet data exists that can be systematically fed into the plant simulation model, leaving regression testing largely dependent on physical, on-site trials. As a consequence, when new software versions are released, their compatibility with the full range of pallet types—including special or atypical variants—cannot be verified in a virtual environment prior to deployment. This gap forces engineering teams to conduct repeated physical pallet tests, a practice that is both time-intensive and resource-costly. Furthermore, the absence of a centralized, validated pallet database limits the plant model's fidelity and prevents meaningful simulation of edge cases. Closing this gap is essential not only to accelerate the software release cycle, but also to reduce operational risk, decrease physical testing overhead, and progressively build a comprehensive, reusable repository of pallet profiles that enriches future simulation capabilities. Main issues - Coverage & Pallet Diversity The plant software must handle a heterogeneous population of pallet types, including non-standard and special-purpose variants. Ensuring that the simulation model accounts for the full diversity of real-world pallet geometries, weights, and surface properties—without direct physical access to each type during testing—requires a methodical data collection strategy and a robust parametric model that can generalize across variants. - Data Acquisition & Format Standardization Pallet test data currently exists in heterogeneous formats across different test setups and measurement instruments. Transforming this raw, inconsistently structured data into a normalized, machine-readable format that can serve as direct input to the plant model presents a significant data engineering challenge. A well-defined schema and automated transformation pipeline are required to ensure consistency, traceability, and scalability. -Reduction of Redundant Physical Testing Transitioning from a purely physical to a simulation-first testing approach requires a degree of institutional trust in the virtual model's outputs. Demonstrating that a properly parameterized simulation can replace repetitive physical re-tests—particularly for previously characterized pallet types—demands clear evidence of equivalence and a change management process that aligns engineering, quality, and operations stakeholders. - Database Design & Long-Term Maintainability The resulting pallet database must be designed not as a static artifact but as a living, evolving repository that grows as new pallet types are encountered. This implies thoughtful database architecture choices, versioning strategies, and access protocols to ensure that data remains accurate, auditable, and usable by both current and future simulation workloads without significant rework Solution idea The proposed work centers on the design and implementation of a structured data framework that captures, normalizes, and integrates physical pallet test data directly into the existing plant simulation model. In a first phase, a data acquisition and transformation pipeline will be developed to extract measurements from pallet tests—covering dimensional, mechanical, and identification attributes—and re-format them according to a defined schema compatible with the plant model's input interface. This pipeline will incorporate validation rules to flag incomplete or anomalous entries before ingestion. In a second phase, the plant model will be extended with a pallet simulation module, parameterized by the ingested data, enabling the controlled execution of software regression tests against a broad and growing set of digital pallet profiles. Special pallet types, which previously required dedicated physical sessions, will be characterized once and stored, eliminating the need for repeated re-testing. Finally, a structured pallet database will be established to serve as the authoritative repository for all characterized pallet types, supporting traceability, version control, and retrieval for future simulation campaigns. The primary tools will include scripted ETL (Extract–Transform–Load) routines in Python for data processing, integration interfaces with the existing plant simulation environment, and a relational or document-oriented database for persistent storage. Validation will be conducted by comparing simulation outcomes with historical physical test results across a representative pallet sample, establishing a quantifiable confidence level for the framework's use in production software release cycles. ## Qualifications Who are we looking for? A motivated thesis student with a hands-on mindset, strong problem-solving skills and an interest in industrial automation, robotics and product development. Relevant skills Programming +++ Product development + Data management ++ ## Additional Information What we offer you? * A place in an enthusiastic, young organisation with the necessary ambitions * The necessary freedom and the opportunity to take initiatives * Location Office : Lokeren * Satellite office in Berchem ( Antwerp ) Unsolicited representations by third parties (recruitment agencies, headhunters, ...) of CVs via mail and/or telephone for our vacancies are considered as direct applications where no compensation is provided to the third party. Any T&Cs from these third parties will not be accepted unless upon signature of the T&Cs by a person in charge of HR. Candidates remain registered in the system for 12 months and cannot be proposed again during this period.", "summaryDescription" : "Thesis Digital Pallet Model Integration into an Overall Plant Simulation at STOW Group. Skills: Plant simulation, Data integration, Robotics. Design data framework. Implement data framework", "postedDate" : "2026-06-09T07:02:08.000", "createdAt" : "2026-06-12T04:36:12.255", "lastUpdated" : "2026-06-15T00:40:13.367", "ingestTimestamp" : "2026-06-12T04:36:12.255", "mongoId" : "6a2a4e1a74d8ee00a05ee51c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Parametric modeling", "Data acquisition", "Data transformation", "Database design", "Regression testing", "ETL routines", "Validation rules", "Plant simulation", "Data integration", "Robotics", "Industrial automation", "Product development", "Data management", "Intralogistics", "Automated logistics", "Warehouse environments", "Plant control software", "Pallet types", "Edge cases", "Simulation models", "Data engineering", "Database architecture", "Versioning strategies", "Access protocols", "Software release cycles", "Digital pallet profiles" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "R&D", "dataQualityScore" : 1.0, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a77b174d8ee00a065e6ff", "title" : "Thesis Digital Pallet Model Integration into an Overall Plant Simulation", "company" : "STOW Group", "industry" : "Industrial Automation", "salary" : { "min" : 45000.0, "max" : 60000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level position in Lokeren, Belgium, adjusted for the manufacturing industry." }, "location" : "Lokeren, Vlaanderen, BE", "locations" : [ "Lokeren", "Vlaanderen", "BE" ], "timestamp" : "2026-06-14T23:04:24.506", "fingerprint" : "55dd79b9a46a7692a9ec16efea7dc9394aaac29b82090ab2c740220b78ec24bc", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/StowGroup/744000131052165-thesis-digital-pallet-model-integration-into-an-overall-plant-simulation-", "externalId" : "744000131052165", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lokeren", "state" : "Vlaanderen", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.1044488,3.9898689" } ], "locationText" : "Lokeren, Vlaanderen, Belgium", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python", "professionalSkills" : [ "Industrial automation", "Robotics", "Product development", "Intralogistics" ], "hardSkillsList" : [ "Parametric modeling", "Data acquisition", "Data transformation", "Database design", "ETL routines", "Regression testing", "Simulation modeling" ], "hardSkills" : [ { "name" : "Parametric modeling", "level" : "intermediate" }, { "name" : "Data acquisition", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Database design", "level" : "intermediate" }, { "name" : "ETL routines", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Simulation modeling", "level" : "intermediate" } ], "majorSkills" : "Data integration, Simulation, Data management", "majorSkillsList" : [ "Data integration", "Simulation", "Data management" ], "coreResponsibilities" : "Design data framework, Implement data framework, Capture test data, Normalize test data, Integrate test data, Develop data pipeline, Extract measurements, Reformat data, Incorporate validation rules, Extend plant model, Parameterize simulation module, Execute regression tests, Characterize special pallets, Establish pallet database, Support traceability, Support version control, Support data retrieval", "teamCollaboration" : "Engineering teams; Quality stakeholders; Operations stakeholders", "domainKnowledge" : "Automated logistics; Warehouse environments; Plant control software; Pallet types; Digital pallet models; Plant simulation models; Edge cases; Data engineering; Database architecture; Versioning strategies; Simulation workloads; Relational databases; Document-oriented databases", "domainList" : [ "automated-logistics", "warehouse-environments", "plant-control-software", "pallet-types", "digital-pallet-models", "plant-simulation-models", "edge-cases", "data-engineering", "database-architecture", "versioning-strategies", "simulation-workloads", "relational-databases", "document-oriented-databases" ], "domainSpecificKnowledge" : [ "Automated logistics", "Warehouse environments", "Plant control software", "Pallet types", "Digital pallet models", "Plant simulation models", "Edge cases", "Data engineering", "Database architecture", "Versioning strategies", "Simulation workloads", "Relational databases", "Document-oriented databases" ], "innovationCreativity" : "Ambitious growth; State-of-the-art robots", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Accelerate software release cycle; Reduce operational risk; Decrease physical testing overhead; Build reusable repository; Enrich simulation capabilities", "qualificationsBasic" : "Programming +++, Product development +, Data management ++", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Movu Robotics Innovation, ambitious growth, technology, state-of-the-art robots – that’s Movu Robotics in a nutshell. Due to the in-house design and manufacturing process of our systems, an exciting, hands-on work environment with plenty of challenges and advancement opportunities is guaranteed. Will you help shape the future of intralogistics? Problem statement In modern automated logistics and warehouse environments, plant control software must operate reliably across a wide variety of pallet types, each with distinct physical and dimensional properties. Currently, no structured digital representation of pallet data exists that can be systematically fed into the plant simulation model, leaving regression testing largely dependent on physical, on-site trials. As a consequence, when new software versions are released, their compatibility with the full range of pallet types—including special or atypical variants—cannot be verified in a virtual environment prior to deployment. This gap forces engineering teams to conduct repeated physical pallet tests, a practice that is both time-intensive and resource-costly. Furthermore, the absence of a centralized, validated pallet database limits the plant model's fidelity and prevents meaningful simulation of edge cases. Closing this gap is essential not only to accelerate the software release cycle, but also to reduce operational risk, decrease physical testing overhead, and progressively build a comprehensive, reusable repository of pallet profiles that enriches future simulation capabilities. Main issues - Coverage & Pallet Diversity The plant software must handle a heterogeneous population of pallet types, including non-standard and special-purpose variants. Ensuring that the simulation model accounts for the full diversity of real-world pallet geometries, weights, and surface properties—without direct physical access to each type during testing—requires a methodical data collection strategy and a robust parametric model that can generalize across variants. - Data Acquisition & Format Standardization Pallet test data currently exists in heterogeneous formats across different test setups and measurement instruments. Transforming this raw, inconsistently structured data into a normalized, machine-readable format that can serve as direct input to the plant model presents a significant data engineering challenge. A well-defined schema and automated transformation pipeline are required to ensure consistency, traceability, and scalability. -Reduction of Redundant Physical Testing Transitioning from a purely physical to a simulation-first testing approach requires a degree of institutional trust in the virtual model's outputs. Demonstrating that a properly parameterized simulation can replace repetitive physical re-tests—particularly for previously characterized pallet types—demands clear evidence of equivalence and a change management process that aligns engineering, quality, and operations stakeholders. - Database Design & Long-Term Maintainability The resulting pallet database must be designed not as a static artifact but as a living, evolving repository that grows as new pallet types are encountered. This implies thoughtful database architecture choices, versioning strategies, and access protocols to ensure that data remains accurate, auditable, and usable by both current and future simulation workloads without significant rework Solution idea The proposed work centers on the design and implementation of a structured data framework that captures, normalizes, and integrates physical pallet test data directly into the existing plant simulation model. In a first phase, a data acquisition and transformation pipeline will be developed to extract measurements from pallet tests—covering dimensional, mechanical, and identification attributes—and re-format them according to a defined schema compatible with the plant model's input interface. This pipeline will incorporate validation rules to flag incomplete or anomalous entries before ingestion. In a second phase, the plant model will be extended with a pallet simulation module, parameterized by the ingested data, enabling the controlled execution of software regression tests against a broad and growing set of digital pallet profiles. Special pallet types, which previously required dedicated physical sessions, will be characterized once and stored, eliminating the need for repeated re-testing. Finally, a structured pallet database will be established to serve as the authoritative repository for all characterized pallet types, supporting traceability, version control, and retrieval for future simulation campaigns. The primary tools will include scripted ETL (Extract–Transform–Load) routines in Python for data processing, integration interfaces with the existing plant simulation environment, and a relational or document-oriented database for persistent storage. Validation will be conducted by comparing simulation outcomes with historical physical test results across a representative pallet sample, establishing a quantifiable confidence level for the framework's use in production software release cycles. ## Qualifications Who are we looking for? A motivated thesis student with a hands-on mindset, strong problem-solving skills and an interest in industrial automation, robotics and product development. Relevant skills Programming +++ Product development + Data management ++ ## Additional Information What we offer you? * A place in an enthusiastic, young organisation with the necessary ambitions * The necessary freedom and the opportunity to take initiatives * Location Office : Lokeren * Satellite office in Berchem ( Antwerp ) Unsolicited representations by third parties (recruitment agencies, headhunters, ...) of CVs via mail and/or telephone for our vacancies are considered as direct applications where no compensation is provided to the third party. Any T&Cs from these third parties will not be accepted unless upon signature of the T&Cs by a person in charge of HR. Candidates remain registered in the system for 12 months and cannot be proposed again during this period.", "summaryDescription" : "Thesis Digital Pallet Model Integration into an Overall Plant Simulation at STOW Group. Skills: Data integration, Simulation, Data management. Design data framework. Implement data framework", "postedDate" : "2026-06-09T07:02:08.000", "createdAt" : "2026-06-12T02:03:05.732", "lastUpdated" : "2026-06-14T23:04:24.506", "ingestTimestamp" : "2026-06-12T02:03:05.732", "mongoId" : "6a2a77b174d8ee00a065e6ff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Parametric modeling", "Data acquisition", "Data transformation", "Database design", "ETL routines", "Regression testing", "Simulation modeling", "Data integration", "Simulation", "Data management", "Industrial automation", "Robotics", "Product development", "Intralogistics", "Automated logistics", "Warehouse environments", "Plant control software", "Pallet types", "Digital pallet models", "Plant simulation models", "Edge cases", "Data engineering", "Database architecture", "Versioning strategies", "Simulation workloads", "Relational databases", "Document-oriented databases" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "R&D", "dataQualityScore" : 1.0, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ccb1b74d8ee00a0a23dbd", "title" : "BIM Model Coordinator", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for BIM Model Coordinator in Bengaluru, India, adjusted for mid-seniority and engineering industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-15T13:11:32.784", "fingerprint" : "e885096152e9be69fb8b4f72661101a3c8c2ee5245ee3a081ecac8046259e002", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784757", "externalId" : "784757", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" }, { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Bengaluru, India; Pune, India", "employmentType" : "FULL_TIME", "technicalSkills" : "BIM, Autodesk Forma", "professionalSkills" : [ "Digital delivery", "Model coordination", "Quality control", "Document management" ], "hardSkillsList" : [ "Model health monitoring", "Coordination processes" ], "hardSkills" : [ { "name" : "Model health monitoring", "level" : "intermediate" }, { "name" : "Coordination processes", "level" : "intermediate" } ], "majorSkills" : "BIM Model Coordination, Digital Deliverables", "majorSkillsList" : [ "BIM Model Coordination", "Digital Deliverables" ], "coreResponsibilities" : "Assist with digital model management, Assist with project deliverables, Execute digital deliverables, Support production team, Provide technical support, Communicate deliverable schedule, Monitor model health, Monitor coordination processes, Assist with DDP development, Assist with DDP maintenance, Establish document management system, Maintain server infrastructure, Ensure software access, Ensure software training, Generate model setup, Maintain model setup, Monitor company standards, Monitor model health, Host coordination meetings, Ensure quality control, Communicate digital deliverables, Coordinate digital deliverables, Compile digital deliverables, Archive projects", "teamCollaboration" : "Digital Delivery Leads; Project team; Production team; HDR management; Clients", "projectManagementSkills" : [ "Digital Delivery Plan" ], "domainKnowledge" : "Building engineering; Digital age infrastructure; Data centers; Commercial environments; Mechanical engineering; Electrical engineering; Structural engineering; Civil engineering; Built environment", "domainList" : [ "building-engineering", "digital-age-infrastructure", "data-centers", "commercial-environments", "mechanical-engineering", "electrical-engineering", "structural-engineering", "civil-engineering", "built-environment" ], "domainSpecificKnowledge" : [ "Building engineering", "Digital age infrastructure", "Data centers", "Commercial environments", "Mechanical engineering", "Electrical engineering", "Structural engineering", "Civil engineering", "Built environment" ], "toolProficiency" : [ "Autodesk Forma", "Newforma", "ProjectWise", "Procore" ], "communicationSkills" : "Presentations", "documentationSkills" : "Construction documents", "innovationCreativity" : "Novel ideas", "qualificationsBasic" : "Understand discipline interaction, Understand construction document production", "qualificationsPreferred" : "Autodesk Forma knowledge, Clash detection software experience, BIM automation tools experience, Microsoft products experience, Google products experience, Newforma experience, ProjectWise experience, Procore experience, Excellent communication skills, Organization skills, Time management skills, Collaborative character, Team-minded character", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. In the role of BIM Model Coordinator , we'll count on you to: Assisting with the management of the digital model environment and deliverables for an entire project Have an understanding of how all disciplines interact and how construction documents are produced Work directly with more advanced Digital Delivery Leads to execute the digital deliverables outlined in the Digital Delivery Plan (DDP) Begin the project initiation procedure, establishing the server infrastructure, discipline models, and digital deliverables outlined in the project scope Execute the digital deliverables and support the production team throughout the project duration Provide technical support, while communicating the deliverable schedule to the project team Maintain quality, this individual will monitor the model health and coordination processes of the project, from the planning phase thru issue of construction documents Assist with the development and maintenance of the Digital Delivery Plan (DDP) Establish the document management system and maintain the server infrastructure for multi-discipline projects Ensure the team has the appropriate software, versions, access, and training needed to execute the project requirements Generate and maintain model setup including project information, coordinates, scales, orientations, scope boundaries, match-lines, views, sheets, and general models, to accommodate the disciplines and project requirements Monitor and maintain company standards and model health Host Digital Delivery coordination meetings with the project team to ensure optimal quality control through Design Reviews and 3D Coordination processes Communicate, coordinate, and compile all project digital deliverables and exchange process at predetermined milestones Project archiving at submittals and closeout Engage in close and effective communication and presentations with HDR management, production staff, and clients Preferred Qualifications Strong knowledge of Autodesk Forma (formerly ACC) Experience with clash detection software and procedures Experience with BIM automation tools and procedures Experience with Microsoft and Google products Experience with Newforma, ProjectWise, Procore, and similar software Excellent communication skills Strong organization and time management skills A collaborative, team-minded character #LI-EV1", "summaryDescription" : "BIM Model Coordinator at HDR. Skills: BIM Model Coordination, Digital Deliverables. Assist with digital model management. Assist with project deliverables", "createdAt" : "2026-06-14T03:05:09.450", "lastUpdated" : "2026-06-15T13:11:32.784", "ingestTimestamp" : "2026-06-14T03:05:09.450", "mongoId" : "6a2ccb1b74d8ee00a0a23dbd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Model health monitoring", "Coordination processes", "BIM Model Coordination", "Digital Deliverables", "Digital delivery", "Model coordination", "Quality control", "Document management", "Digital Delivery Plan", "Building engineering", "Digital age infrastructure", "Data centers", "Commercial environments", "Mechanical engineering", "Electrical engineering", "Structural engineering", "Civil engineering", "Built environment", "Autodesk Forma", "Newforma", "ProjectWise", "Procore" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf26132beec4dd3d90b5f2", "title" : "Clinical Nurse- Telemetry", "company" : "Tampa General Hospital", "location" : "United States-Florida-Crystal River", "locations" : [ "United States-Florida-Crystal River" ], "certifications" : [ "Registered Nurse", "Basic Life Support" ], "timestamp" : "2026-06-15T06:48:50.915", "fingerprint" : "eb83571e20c9e1a74c6e754b14a5c6612135015c669240afbe06d8961ecadd4a", "source" : "taleo", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=671108", "externalId" : "671108", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Crystal River", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Crystal River, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate", "experienceMinYears" : 1, "experienceMaxYears" : 3, "experienceLevel" : "Junior", "professionalSkills" : [ "Understands and adheres to established policies, procedures, and professional guidelines. Demonstrates knowledge of patient populations served, including physical, psychosocial, and developmental needs." ], "hardSkillsList" : [ "patient assessment", "nursing care", "patient education", "discharge planning" ], "softSkillsList" : [ "quality improvement" ], "hardSkills" : [ { "name" : "patient assessment", "level" : "intermediate" }, { "name" : "nursing care", "level" : "intermediate" }, { "name" : "patient education", "level" : "intermediate" }, { "name" : "discharge planning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "quality improvement" } ], "majorSkills" : "patient assessment, nursing care, discharge planning, Registered Nurse, Basic Life Support", "majorSkillsList" : [ "patient assessment, nursing care, discharge planning, Registered Nurse, Basic Life Support" ], "coreResponsibilities" : "Delivers nursing care to patients, including assessment, planning, implementation, and evaluation of patient outcomes. Directs and coordinates patient care activities and communicates the plan of care to the healthcare team. Provides patient education and ensures patient rights are maintained.", "teamCollaboration" : "Collaborates with patients, families, and healthcare team members in planning and directing patient care. Communicates with team members through conferences and shift reports.", "communicationSkills" : "verbal communication; written communication", "documentationSkills" : "nursing documentation", "outcomesObjectives" : "Conducts ongoing evaluation of patient outcomes and documents the effectiveness of interventions in relation to the plan of care.", "qualificationsBasic" : "Associate's degree in Nursing. Registered Nurse license issued by Florida or Compact State. Basic Life Support (BLS) certification through American Heart Association or American Red Cross.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, following established policies, procedures, and professional guidelines, delivers nursing care to patients. Plans and implements nursing care; documents nursing assessments; identifies and reports situations requiring further intervention; formulates and communicates goal-directed plan of care; assures patient rights. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital and principles of quality improvement Essential Functions · Assesses and analyzes the health status of patients in assigned nursing unit in a comprehensive manner. Performs and/or assures completed assessments on all patients admitted within the designated time delineated in policy/unit standards. · Performs on-going assessments and documents according to policy and procedure, reports significant findings of admission and on-going assessments to appropriate member of heath care team. · Initiates discharge planning process with initial admission assessment. · Plans patient care on assigned unit in collaboration with the patient, family, and health care team. · Formulates individualized patient plan of care based on assessment data within the designated time delineated in policy/unit standards. · Updates plan of care based on the patient assessment within appropriate time period. · Directs, implements and coordinates patient care activities on assigned unit to ensure the delivery of quality care. · Communicates the plan of care to other members of the healthcare team through daily worksheet conferences, verbally during the shift and shift report. · Directs care team members in accordance with their scope of practice. · Communicates and documents all patient care given including assessments, plan of care, interventions, patient response, and follow-up. Transcribes and directs the implementation of physician orders. Provides patient education based on assessed needs and evaluates understanding. · Conducts ongoing evaluation of patient outcomes and documents effectiveness of planned and implemented interventions and strategies in relation to the plan of care within time frames per policy/unit standards. Includes patient and family in the evaluation process. · Provides appropriate patient assessment and care specific to the needs of the patient populations served (e.g. age groups, patients of size; diagnosis-based). · Demonstrates knowledge and awareness of the specific physical, psychosocial and developmental needs of patients as appropriate to the populations served. Education Associate's degree in Nursing License/Registration Registered Nurse- Issued by Florida or Compact State Certification Basic Life Support (BLS) through American Heart Association or American Red Cross Crystal River", "summaryDescription" : "Clinical Nurse- Telemetry at Tampa General Hospital. Skills: patient assessment, nursing care, discharge planning, Registered Nurse, Basic Life Support. Delivers nursing care to patients, including assessment, planning, implementation, and evaluation of patient outcomes. Directs and coordinates patient care activities and communicates the plan of care to the healthcare team. Provides patient education and ensures patient rights are maintained.", "createdAt" : "2026-06-14T21:52:14.957", "lastUpdated" : "2026-06-15T06:48:50.915", "ingestTimestamp" : "2026-06-14T21:52:14.957", "mongoId" : "69cf26132beec4dd3d90b5f2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "patient assessment", "nursing care", "patient education", "discharge planning", "quality improvement", "patient assessment, nursing care, discharge planning, Registered Nurse, Basic Life Support", "Understands and adheres to established policies, procedures, and professional guidelines. Demonstrates knowledge of patient populations served, including physical, psychosocial, and developmental needs.", "Registered Nurse", "Basic Life Support" ], "skillCount" : 9, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c9e1e74d8ee00a099d73f", "title" : "Lead Data/Data Modeling", "company" : "Fusion Consulting", "industry" : "Management Consulting", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Data/Data Modeling roles in Frankfurt am Main, Germany, adjusted for the consulting industry and lead seniority." }, "location" : "Frankfurt am Main, HE, Germany", "locations" : [ "Frankfurt am Main", "HE", "Germany" ], "timestamp" : "2026-06-15T09:50:52.930", "fingerprint" : "46450ae18899bc785c68eb062b767b3f1f9f33d48d147d63df855b1fb322f9ed", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/FusionConsulting/744000131902938-lead-data-data-modeling", "externalId" : "744000131902938", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Frankfurt am Main", "state" : "Hesse", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.1106444,8.6820917" } ], "locationText" : "Frankfurt am Main, Hesse, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Stakeholder management", "Data Governance", "Data Management", "Data Quality", "Data Lifecycle", "Master data", "Data architecture" ], "hardSkillsList" : [ "Organizational skills", "Planning capabilities", "Reporting capabilities" ], "hardSkills" : [ { "name" : "Organizational skills", "level" : "intermediate" }, { "name" : "Planning capabilities", "level" : "intermediate" }, { "name" : "Reporting capabilities", "level" : "intermediate" } ], "majorSkills" : "Project Management, PMO, Program Management, Project Coordination", "majorSkillsList" : [ "Project Management", "PMO", "Program Management", "Project Coordination" ], "coreResponsibilities" : "Coordinate Data Governance project activities, Coordinate Data Management project activities, Drive project planning, Drive milestone tracking, Drive risk management, Drive dependency management, Facilitate workshops, Facilitate steering committees, Facilitate stakeholder meetings, Act as primary point of contact, Ensure effective communication, Monitor project progress, Provide regular status reporting, Support resource planning, Support workload coordination, Track action items, Track decisions, Track deliverables, Promote adherence to governance frameworks, Promote adherence to project standards, Promote adherence to delivery methodologies, Support change management activities, Support stakeholder engagement activities", "teamCollaboration" : "Business stakeholders; Data teams; Project leadership; Technical teams; Cross-functional teams", "projectManagementSkills" : [ "Agile", "Waterfall", "Hybrid approaches" ], "domainKnowledge" : "Life Sciences industry; Data Governance; Data Management; Data Quality; Data Lifecycle; Master data; Data architecture", "domainList" : [ "life-sciences-industry", "data-governance", "data-management", "data-quality", "data-lifecycle", "master-data", "data-architecture" ], "domainSpecificKnowledge" : [ "Life Sciences industry", "Data Governance", "Data Management", "Data Quality", "Data Lifecycle", "Master data", "Data architecture" ], "communicationSkills" : "Stakeholder communication; Executive-level meetings", "continuousLearning" : "Annual Training Budget; Continuous Learning", "qualificationsBasic" : "Proven experience in Project Management, Experience coordinating cross-functional teams, Knowledge of project management methodologies, Fluency in German, Fluency in English", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Swiss Delivery Excellence: Transforming Life Science Consulting Worldwide. Fusion Consulting is a globally leading Business and IT boutique consultancy specialized in the Life Sciences industry, partnering with leading companies in pharma, healthcare, and animal health. With over 450 employees and 25 offices worldwide, our mission is to revolutionize our clients' business transformation challenges and set new industry standards through innovative solutions. Focused on S4HANA, Data & Cloud, and innovative technologies, Fusion Consulting brings unparalleled expertise and commitment to excellence to every project we undertake. Grounded in our commitment to fast and intelligent decision-making, our client-first and open-hearted approach defines our ethos. With unwavering support and an entrepreneurial spirit, our global teamwork transcends boundaries and turns shared visions into reality. We are currently seeking an experienced Project Management Officer (PMO) to support and coordinate Data Governance and Data Management initiatives within a complex international environment. The successful candidate will act as the central coordination point between business stakeholders, data teams, and project leadership, ensuring alignment, transparency, and timely delivery across multiple workstreams. Key Responsibilities * Coordinate and oversee Data Governance and Data Management project activities across multiple teams and stakeholders * Drive project planning, milestone tracking, risk management, and dependency management * Facilitate workshops, steering committees, and stakeholder meetings to ensure alignment on priorities and objectives * Act as the primary point of contact for business stakeholders, project teams, and leadership * Ensure effective communication between technical and business teams * Monitor project progress and provide regular status reporting, including risks, issues, and mitigation plans * Support resource planning and workload coordination across project streams * Track action items, decisions, and deliverables to ensure successful project execution * Promote adherence to governance frameworks, project standards, and delivery methodologies * Support change management and stakeholder engagement activities throughout the project lifecycle ## Qualifications Key Skills & Experience * Proven experience in Project Management, PMO, Program Management, or Project Coordination roles * Excellent stakeholder management and communication skills * Strong understanding of Data Governance, Data Management, Data Quality, and Data Lifecycle concepts * Ability to work effectively with both business and technical teams * Experience coordinating cross-functional teams in complex enterprise environments * Strong organizational, planning, and reporting capabilities * Experience facilitating workshops, steering committees, and executive-level meetings * Familiarity with data-related projects, including data governance, master data, data quality, or data architecture initiatives * Knowledge of project management methodologies (Agile, Waterfall, or hybrid approaches) * Fluency in German and English is mandatory ## Additional Information Why Fusion? At Fusion, we unite entrepreneurial minds from around the globe to develop and implement game-changing solutions that build lasting relationships with our clients. We value employees who challenge the status quo through innovation, adapt to diverse client needs in ever-changing environments, and commit to continuous learning—for themselves and their colleagues. We provide a competitive salary and benefits package, along with an outstanding work environment that fosters long-term career development opportunities. Our Benefits: * Workflex: Enjoy 25 days of flexibility to work from your preferred global location. * Flexible Time Off: Take the time you need to recharge and maintain a healthy work-life balance, with flexibility beyond standard holiday allowances. * Annual Training Budget: Access CHF 1,500 to invest in your professional development and skill enhancement. * Continuous Learning: Thrive in an environment that encourages ongoing learning, with opportunities to develop new skills and broaden your expertise. * Global Mobility Support: Gain assistance with international assignments, visa/permit support, and relocation services. * Unity Scheme: Benefit from loyalty rewards starting after 3 years of service. * Referral Program: Earn a referral fee for every successfully hired referee. * Local Benefits: Access a range of country-specific benefits tailored to your location. * People Focus: Unite with the best global talent in life sciences, empowered to grow and collaborate in a vibrant environment. * Truly Global: Join a truly global organization where mutual support, teamwork, and diversity drive our collective success.", "summaryDescription" : "Lead Data/Data Modeling at Fusion Consulting. Skills: Project Management, PMO, Program Management, Project Coordination. Coordinate Data Governance project activities. Coordinate Data Management project activities", "postedDate" : "2026-06-12T13:18:18.000", "createdAt" : "2026-06-14T05:48:23.595", "lastUpdated" : "2026-06-15T09:50:52.930", "ingestTimestamp" : "2026-06-14T05:48:23.595", "mongoId" : "6a2c9e1e74d8ee00a099d73f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Organizational skills", "Planning capabilities", "Reporting capabilities", "Project Management", "PMO", "Program Management", "Project Coordination", "Stakeholder management", "Data Governance", "Data Management", "Data Quality", "Data Lifecycle", "Master data", "Data architecture", "Agile", "Waterfall", "Hybrid approaches", "Life Sciences industry" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb05a74d8ee00a09d9b29", "title" : "Model Risk Specialist", "company" : "Nubank", "industry" : "Risk Management", "salary" : { "min" : 215000.0, "max" : 345000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Model Risk Specialist in São Paulo, Brazil, adjusted for the FinTech industry and company size." }, "location" : "São Paulo", "locations" : [ "São Paulo" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T07:44:36.684", "fingerprint" : "04ab110e45605f68cbef3093934bc3114e11d05a0d3d6a2e187723b9f9d05e16", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nubank/412f91c7-dfda-42d5-8a5b-2c848b013636/application", "externalId" : "412f91c7-dfda-42d5-8a5b-2c848b013636", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "hybrid", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, R, Scala, Spark, SQL, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Delta Lake", "professionalSkills" : [ "Risk assessment", "Model validation", "Data governance", "Feature engineering", "MLOps", "CI/CD", "Model monitoring", "Risk management", "Control design", "Governance frameworks" ], "hardSkillsList" : [ "Statistical methods", "Machine learning", "Generative AI", "Agentic AI", "Quantitative analysis", "Data engineering", "Analytics engineering", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Agentic AI", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Model risk, AI risk, Data infrastructure, MLOps", "majorSkillsList" : [ "Model risk", "AI risk", "Data infrastructure", "MLOps" ], "coreResponsibilities" : "Review data and infrastructure environments, Assess risks across model lifecycle infrastructure, Evaluate feature engineering pipelines, Evaluate feature stores, Evaluate CI/CD for models, Evaluate deployment platforms, Evaluate model monitoring systems, Assess data governance practices, Identify gaps in data governance, Identify and escalate risks, Establish and enhance controls, Validate data and infrastructure, Review first-line processes, Challenge first-line procedures, Partner to define KRIs, Monitor KRIs, Contribute to model governance framework, Develop tools for risk management, Improve analyses for risk management, Build reporting solutions, Build monitoring solutions, Support internal audits, Support regulatory inquiries, Discuss risk status with stakeholders, Report risk findings to stakeholders, Present independent opinions", "teamCollaboration" : "Model teams; Data platform teams; First-line teams; Senior managers", "domainKnowledge" : "Data Mesh architecture; Data lineage; Feature governance; Model monitoring concepts; Drift detection; Pipeline stability; Performance degradation tracking; ERM; COSO; SR 11-7; SR 26-2; OCC 2011-12; NIST AI RMF", "domainList" : [ "data-mesh-architecture", "data-lineage", "feature-governance", "model-monitoring-concepts", "drift-detection", "pipeline-stability", "performance-degradation-tracking", "erm", "coso", "sr-11-7", "sr-26-2", "occ-2011-12", "nist-ai-rmf" ], "domainSpecificKnowledge" : [ "Data Mesh architecture", "Data lineage", "Feature governance", "Model monitoring concepts", "Drift detection", "Pipeline stability", "Performance degradation tracking", "ERM", "COSO", "SR 11-7", "SR 26-2", "OCC 2011-12", "NIST AI RMF" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "Dbt Cloud" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Traceable assessments; Reproducible assessments", "continuousLearning" : "Nucleo learning platform", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, Prior experience in model risk management, Experience in a 2nd or 3rd line of defense, Familiarity with model risk frameworks, Familiarity with regulatory expectations", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT NU Nu is one of the largest digital financial services platforms in the world, serving 135 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services. Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns. Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. Visit our institutional page: https://www.nu.com/2026-en ABOUT US Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page Careers at Nu - Join our team! https://international.nubank.com.br/careers/    ABOUT THE ROLE At Nubank we heavily rely on Data, Machine Learning, and increasingly on Generative and Agentic AI to drive our strategy and deliver the best experience and products to our customers. The Model Risk team plays a crucial role in ensuring the risks associated with our models and AI systems are understood and under control. We are now building a dedicated AI Risk Management capability to address the emerging risks of advanced AI — including LLM-powered and autonomous agentic systems — with a focus on AI quality, model and agent behavior, and the platform controls that keep these systems safe and reliable across internal and customer-facing use cases. This is an individual contributor role, you will both review and assess what first-line teams build, and actively develop tools, playbooks, and analyses to mature our risk practices. You will focus on the infrastructure and data risks that surround model development and deployment: feature engineering and feature stores, MLOps pipelines, model monitoring, deployment platforms, and data governance practices. You will work closely with model and data platform teams to identify, assess, and report risks independently, bringing a second-line perspective without losing technical depth. RESPONSIBILITIES Infrastructure & Data Risk Assessment - Conduct independent reviews of the data and infrastructure environments used for developing, deploying, and monitoring AI/machine learning models, assessing reliability, stability, and fitness for purpose. - Evaluate risks across the model lifecycle infrastructure: feature engineering pipelines, feature stores, CI/CD for models, deployment platforms, and model monitoring systems. - Assess data governance practices, including data quality, lineage, access controls and identify gaps that could materially impact model behavior or risk. - Identify and escalate risks or control gaps proactively across all stages of the model and data platform lifecycle. Controls & Governance - Help establish and enhance specific controls and validation practices for data and infrastructure used in model development and deployment. - Review and challenge first-line processes, procedures, and controls against internal policies, industry frameworks, and regulatory expectations. - Partner with model and data platform teams to define and monitor Key Risk Indicators (KRIs) for infrastructure and data risk. - Contribute to the evolution of Nubank's model governance framework with an infrastructure and data lens. Tooling & Playbooks - Develop and improve tools, analyses, and playbooks specific to infrastructure and data risk management. - Build reporting and monitoring solutions that provide clear, continuous visibility into the health of model infrastructure and data environments. - Support internal audit and regulatory inquiries with well-documented, traceable, and reproducible risk assessments. Stakeholder Engagement - Discuss and report infrastructure and data risk status, findings, and independent opinions with stakeholders across the organization, including senior managers. - Collaborate with model teams, data platform engineers, and governance partners to drive risk-aware design decisions without slowing responsible innovation. - Work in a multicultural, diverse, and highly skilled environment. QUALIFICATIONS - Bachelor's or master's degree in computer science, data science, statistics, mathematics, engineering, or a related field. - Strong programming skills: Proficiency in Python and SQL; experience with Spark/Scala is a plus. - ML infrastructure knowledge: Hands-on familiarity with MLOps practices, CI/CD pipelines for models, feature stores, and cloud-based ML platforms (AWS, GCP, or Azure). - Data governance: Understanding of Data Mesh architecture and principles, data lineage, data quality frameworks, and feature governance practices. - Model monitoring: Experience with model and data monitoring concepts, including drift detection, pipeline stability, and performance degradation tracking. - Good written and verbal communication skills in English - Understanding of risk management principles, control design, and governance frameworks (e.g. ERM, COSO); experience in a 2nd or 3rd line of defense is a strong plus. - Prior experience in model risk management, model validation, or a data/ML engineering role transitioning into risk (nice to have) - Familiarity with model risk frameworks and regulatory expectations (e.g., SR 11-7 / SR 26-2 / OCC 2011-12, NIST AI RMF)-(nice to have) Location & Work Model Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. This position is based in Sao Paulo, Brazil. BENEFITS - Chance of earning equity at Nubank - Food/ Meal Card (Vale-Refeição and/or Vale Alimentação) - Public Transportation Commuting Benefit (Vale-Transporte) - NuCare – Psychological, Financial and Legal Assistance Program - Life Insurance - Medical Plan - Dental Plan - NuLanguage – Language Course Program - Nucleo - Our learning platform of courses - Extended Parental Leave - Daycare Allowance - Parental Consultancy - Work-from-home Allowance - Gym Partnerships - 30 days of paid vacation - Relocation Assistance Package, if applicable By submitting an application, I acknowledge that I have read and understand the Nubank Candidate Privacy Notice. Nubank Candidate Privacy Notice (English https://building.nubank.com/privacy-notice-for-candidates// Portuguese https://building.nubank.com/pt-br/aviso-de-privacidade-para-candidatos/ / Spanish). https://nu.com.mx/aviso-de-privacidad-candidatos/", "summaryDescription" : "Model Risk Specialist at Nubank. Skills: Model risk, AI risk, Data infrastructure, MLOps. Review data and infrastructure environments. Assess risks across model lifecycle infrastructure", "createdAt" : "2026-06-13T21:45:30.592", "lastUpdated" : "2026-06-15T07:44:36.684", "ingestTimestamp" : "2026-06-13T21:45:30.592", "mongoId" : "6a2cb05a74d8ee00a09d9b29", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Machine learning", "Generative AI", "Agentic AI", "Quantitative analysis", "Data engineering", "Analytics engineering", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Model risk", "AI risk", "Data infrastructure", "MLOps", "Risk assessment", "Model validation", "Data governance", "Feature engineering", "CI/CD", "Model monitoring", "Risk management", "Control design", "Governance frameworks", "Data Mesh architecture", "Data lineage", "Feature governance", "Model monitoring concepts", "Drift detection", "Pipeline stability", "Performance degradation tracking", "ERM", "COSO", "SR 11-7", "SR 26-2", "OCC 2011-12", "NIST AI RMF", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Dbt Cloud" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf26132beec4dd3d90b522", "title" : "Clinical Nurse- Telemetry", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Clinical Nurse- Telemetry in Crystal River, United States, adjusted for the healthcare industry and company size." }, "location" : "United States-Florida-Crystal River", "locations" : [ "United States-Florida-Crystal River" ], "certifications" : [ "Registered Nurse", "Basic Life Support" ], "timestamp" : "2026-06-15T09:12:43.094", "fingerprint" : "98ff9477a871a450ab857a24b58154aa68002d11f252a6fef07beeb29ae222bf", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=675532", "externalId" : "675532", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Crystal River", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.9024790,-82.5926012" } ], "locationText" : "Crystal River, Florida, United States", "minimumEducation" : "Associate's", "professionalSkills" : [ "Nursing care", "Patient assessment", "Discharge planning", "Patient care planning", "Care coordination", "Patient education" ], "hardSkillsList" : [ "Nursing documentation", "Health status analysis" ], "hardSkills" : [ { "name" : "Nursing documentation", "level" : "intermediate" }, { "name" : "Health status analysis", "level" : "intermediate" } ], "majorSkills" : "Telemetry nursing, Patient care", "majorSkillsList" : [ "Telemetry nursing", "Patient care" ], "coreResponsibilities" : "Deliver nursing care to patients, Plan nursing care, Implement nursing care, Identify situations requiring further action, Report situations requiring further action, Formulate plan of care, Communicate plan of care, Assure patient rights, Assess health status of patients, Perform assessments on admitted patients, Perform on-going assessments, Document assessments, Report significant findings, Initiate discharge planning, Plan patient care, Update plan of care, Direct patient care activities, Coordinate patient care activities, Communicate plan of care to team, Transcribe physician orders, Direct implementation of physician orders, Provide patient education, Evaluate patient understanding, Evaluate patient outcomes, Document effectiveness of interventions, Include patient in evaluation", "teamCollaboration" : "Health care team", "domainKnowledge" : "Nursing practice", "domainList" : [ "nursing-practice" ], "domainSpecificKnowledge" : [ "Nursing practice" ], "communicationSkills" : "Shift report", "documentationSkills" : "Nursing documentation", "outcomesObjectives" : "Deliver quality care", "qualificationsBasic" : "Registered Nurse license, Basic Life Support certification", "qualificationsPreferred" : "Associate's degree in Nursing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, following established policies, procedures, and professional guidelines, delivers nursing care to patients. Plans and implements nursing care; documents nursing assessments; identifies and reports situations requiring further intervention; formulates and communicates goal-directed plan of care; assures patient rights. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital and principles of quality improvement Essential Functions · Assesses and analyzes the health status of patients in assigned nursing unit in a comprehensive manner. Performs and/or assures completed assessments on all patients admitted within the designated time delineated in policy/unit standards. · Performs on-going assessments and documents according to policy and procedure, reports significant findings of admission and on-going assessments to appropriate member of heath care team. · Initiates discharge planning process with initial admission assessment. · Plans patient care on assigned unit in collaboration with the patient, family, and health care team. · Formulates individualized patient plan of care based on assessment data within the designated time delineated in policy/unit standards. · Updates plan of care based on the patient assessment within appropriate time period. · Directs, implements and coordinates patient care activities on assigned unit to ensure the delivery of quality care. · Communicates the plan of care to other members of the healthcare team through daily worksheet conferences, verbally during the shift and shift report. · Directs care team members in accordance with their scope of practice. · Communicates and documents all patient care given including assessments, plan of care, interventions, patient response, and follow-up. Transcribes and directs the implementation of physician orders. Provides patient education based on assessed needs and evaluates understanding. · Conducts ongoing evaluation of patient outcomes and documents effectiveness of planned and implemented interventions and strategies in relation to the plan of care within time frames per policy/unit standards. Includes patient and family in the evaluation process. · Provides appropriate patient assessment and care specific to the needs of the patient populations served (e.g. age groups, patients of size; diagnosis-based). · Demonstrates knowledge and awareness of the specific physical, psychosocial and developmental needs of patients as appropriate to the populations served. Education Associate's degree in Nursing License/Registration Registered Nurse- Issued by Florida or Compact State Certification Basic Life Support (BLS) through American Heart Association or American Red Cross Crystal River", "summaryDescription" : "Clinical Nurse- Telemetry at Tampa General Hospital. Skills: Telemetry nursing, Patient care. Deliver nursing care to patients. Plan nursing care", "createdAt" : "2026-06-14T08:31:01.584", "lastUpdated" : "2026-06-15T09:12:43.094", "ingestTimestamp" : "2026-06-14T08:31:01.584", "mongoId" : "69cf26132beec4dd3d90b522", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Nursing documentation", "Health status analysis", "Telemetry nursing", "Patient care", "Nursing care", "Patient assessment", "Discharge planning", "Patient care planning", "Care coordination", "Patient education", "Nursing practice", "Registered Nurse", "Basic Life Support" ], "skillCount" : 13, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2b5c3574d8ee00a07bb968", "title" : "Make Ready/Turn Technician", "company" : "Greystar", "industry" : "Real Estate", "salary" : { "min" : 300.0, "max" : 300.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "The Residences at Wakefield, Raleigh, NC", "locations" : [ "The Residences at Wakefield, Raleigh, NC", "United States of America" ], "timestamp" : "2026-06-14T23:23:04.362", "fingerprint" : "d2752e86c126a8593f85afc39eaddef9739d03ec23734191f382d83da40d2871", "source" : "workday", "language" : "en", "applyUrl" : "https://greystar.wd1.myworkdayjobs.com/External/job/The-Residences-at-Wakefield-Raleigh-NC/Make-Ready-Turn-Technician---The-Residences-at-Wakefield_R0191438", "externalId" : "R0191438", "industryFunction" : { }, "locationPoint" : "45.6668,-75.83265", "structuredLocations" : [ { "city" : "Raleigh", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.7803977,-78.6390989" } ], "locationText" : "Raleigh, North Carolina, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Property management", "Real estate" ], "hardSkillsList" : [ "Caulking", "Sealing", "Sheetrock repair", "Painting", "Pressure washing", "Trash removal" ], "softSkillsList" : [ "Customer service" ], "hardSkills" : [ { "name" : "Caulking", "level" : "intermediate" }, { "name" : "Sealing", "level" : "intermediate" }, { "name" : "Sheetrock repair", "level" : "intermediate" }, { "name" : "Painting", "level" : "intermediate" }, { "name" : "Pressure washing", "level" : "intermediate" }, { "name" : "Trash removal", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer service" } ], "majorSkills" : "Apartment turn, Maintenance, Property operations", "majorSkillsList" : [ "Apartment turn", "Maintenance", "Property operations" ], "coreResponsibilities" : "Perform technical and mechanical work, Ensure timely turn of vacant apartment homes, Complete repairs and improvements prior to move-in, Caulk and seal around windows, sinks, toilets, bathtubs,, Inspect sheetrock for damage, Repair or replace sheetrock, Perform touch-up paints for vacant units, Perform touch-up paints for occupied units, Assist in maintaining grounds, Assist in maintaining common areas, Assist in maintaining amenities, Pick up trash and debris, Pressure-wash breezeways, Pressure-wash pool areas, Perform general cleaning, Paint curbs, Paint signage, Support cost-cutting programs, Fix rather than replace parts, Avoid waste of materials, Practice correct use of tools, Complete make-ready checklist, Complete other maintenance documentation, Comply with safety and risk-management policies, Attend safety meetings, Participate in safety meetings, Complete OSHA training, Complete safety training, Report accidents promptly, Report incidents promptly, Treat residents with respect, Treat others with respect, Answer resident questions, Respond sensitively to complaints, Complete assigned work orders with efficiency, Complete assigned work orders with urgency", "teamCollaboration" : "Work with Service Supervisor; Work with Community Manager", "domainKnowledge" : "Rental residential real estate", "domainList" : [ "rental-residential-real-estate" ], "domainSpecificKnowledge" : [ "Rental residential real estate" ], "communicationSkills" : "Answer resident questions; Respond to complaints", "documentationSkills" : "Maintenance documentation", "continuousLearning" : "Required safety training", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Rotating on-call schedule, Work evenings, Work weekends, Work holidays, Travel to assist other properties, Attend training classes, Attend business meetings, Physical demands", "qualificationsBasic" : "Complete make-ready checklist, Complete maintenance documentation, Comply with safety policies, Demonstrate customer service skills, Stand, walk, or sit for extended periods, Bend, stoop, climb ladders, Reach, carry objects, crawl in confined areas, Work inside and outside in all weather, Push, pull, lift, carry 25 lbs independently, Push, pull, lift, carry 50 lbs with assistance, Work flexible schedule, Take call evenings, weekends, holidays", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**ABOUT GREYSTAR** Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in more than 265 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing over one million units/beds globally. Across its platforms, Greystar has nearly $79 billion of assets under management, including over $35 billion of development assets and over $36.5 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit [www.greystar.com](http://www.greystar.com). **JOB DESCRIPTION SUMMARY** Ensures that vacant units meet the established quality standards for re-leasing by performing technical and mechanical work that ensures the timely turn of all vacant apartment homes to market ready condition that meet the Company’s standards for occupancy. **JOB DESCRIPTION** **Property Name: The Residences at Wakefield Location: Raleigh, NC Property Type: Garden Stage: Stabilized Unit Count: 360 Schedule: Monday-Friday + rotating on-call schedule** * Completes all needed repairs and improvements to apartment homes prior to resident move-in by following the community’s make-ready checklist. * Ensures apartment homes have been properly caulked and sealed as needed around windows, sink areas, toilets, bathtubs, and showers. * Inspects all sheetrock for damage, and repairs and/or replaces as needed. * Performs touch-up paints for vacant and occupied units as directed by Service Supervisor or Community Manager. * Assists in maintaining the grounds, common areas, and amenities by picking up trash and debris, pressure-washing breezeways and pool areas, performing general cleaning, and painting curbs and signage as needed. * Supports cost-cutting and expense control programs by fixing rather than replacing parts when possible, not being wasteful with materials and supplies, and practicing the correct use for tools and equipment. * Completes make-ready checklist and all other required maintenance documentation in a timely manner as required by the Supervisor or Manager. * Complies with Greystar’s safety and risk-management policies by attending and participating in the community’s routine safety meetings, completing required training on OSHA and other safety related laws and requirements, and by reporting accidents and incidents promptly and accurately. * Demonstrates customer services skills by treating residents and others with respect, answering resident questions, responding sensitively to complaints about maintenance services, and completing assigned work orders with efficiency and urgency. # Physical Demands: * Incumbents need to be able to stand, walk, and/or sit for extended periods of time and bend, stoop, climb ladders, reach, carry objects, and crawl in confined areas. * Incumbents must be able to work inside and outside in all weather conditions (rain, snow, heat, hail, wind, sleet). * Incumbents must be able to push, pull, lift, carry, or maneuver weights of up to twenty-five (25) pounds independently and fifty (50) pounds with assistance. * Rare or regular travel may be required to assist other properties as needed, attend training classes, business meetings, or other situations necessary for the accomplishment of some or all of the daily responsibilities of this position. * Incumbents must be able to work a flexible work schedule, which includes taking “call” during evenings, weekends and holidays. #LI-SB1 The hourly range for this position is $19.00 - $22.00 **Additional Compensation** : Many factors go into determining employee pay within the posted range including business requirements, prior experience, current skills and geographical location. * _Corporate Positions_ : In addition to the base salary, this role may be eligible to participate in a quarterly or annual bonus program based on individual and company performance. * _Onsite Property Positions_ : In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs. **Robust Benefits Offered*:** * Competitive Medical, Dental, Vision, and Disability & Life insurance benefits. Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service. * Generous Paid Time off. All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure. * For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability. * 6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter). * 401(k) with Company Match up to 6% of pay after 6 months of service. * Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy). * Employee Assistance Program. * Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans. * Charitable giving program and benefits. _*Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listed information above due to Collective Bargaining Agreements and/or local governing authority._ Greystar will consider for employment qualified applicants with arrest and conviction records. _**Important Notice:** Greystar will never request your banking details or other sensitive personal information during the interview process. Greystar does not conduct any interviews via text or messaging, and all communication will come from official Greystar email addresses (@greystar.com). If you receive suspicious requests, please report them immediately to AskHR@greystar.com._", "summaryDescription" : "Make Ready/Turn Technician at Greystar. Skills: Apartment turn, Maintenance, Property operations. Perform technical and mechanical work. Ensure timely turn of vacant apartment homes", "postedDate" : "2026-06-12T05:32:40.565", "createdAt" : "2026-06-12T05:32:40.466", "lastUpdated" : "2026-06-14T23:23:04.362", "ingestTimestamp" : "2026-06-12T05:32:40.466", "mongoId" : "6a2b5c3574d8ee00a07bb968", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://greystar.wd1.myworkdayjobs.com/External/job/The-Residences-at-Wakefield-Raleigh-NC/Make-Ready-Turn-Technician---The-Residences-at-Wakefield_R0191438", "salaryAnnualMax" : 300, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Caulking", "Sealing", "Sheetrock repair", "Painting", "Pressure washing", "Trash removal", "Customer service", "Apartment turn", "Maintenance", "Property operations", "Property management", "Real estate", "Rental residential real estate" ], "skillCount" : 13, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate" }, { "id" : "6a2a5dbb74d8ee00a061a13c", "title" : "Maintenance Technician - Make Ready", "company" : "Weinstein Properties", "salary" : { "min" : 19.0, "max" : 20.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Fort Worth, Texas, United States", "locations" : [ "Fort Worth", "Texas", "United States", "Fort Worth", "Texas", "United States" ], "certifications" : [ "EPA Type II certification", "Universal EPA certification" ], "timestamp" : "2026-06-14T20:34:49.340", "fingerprint" : "a777b67944bf2f65dbacf0731630495e9339113e5fa9263cae7d9904b90fc6ed", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/weinsteinproperties/jobs/7991387", "externalId" : "7991387", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fort Worth", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7531770,-97.3327459" } ], "locationText" : "Fort Worth, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "hardSkillsList" : [ "Hand tool usage", "Power tool usage" ], "hardSkills" : [ { "name" : "Hand tool usage", "level" : "intermediate" }, { "name" : "Power tool usage", "level" : "intermediate" } ], "majorSkills" : "Apartment maintenance, Residential maintenance", "majorSkillsList" : [ "Apartment maintenance", "Residential maintenance" ], "coreResponsibilities" : "Complete turn process vacant apartments, Complete make ready process vacant apartments, Assist team maintenance work orders, Maintain property grounds daily, Maintain community appearance, Maintain amenities appearance, Maintain pool areas appearance, Keep property running smoothly", "teamCollaboration" : "Maintenance team collaboration", "problemSolvingSkills" : "Problem-solving", "specialRequirements" : "On-call schedule participation, Reliable transportation, Ability to drive golf cart, Lift up to 75 lbs, Work indoors/outdoors, Climb stairs, Climb ladders, Background check required", "qualificationsBasic" : "1 year apartment maintenance experience, Willing to train for HVAC certification", "qualificationsPreferred" : "EPA certification Type II, Universal EPA certification, Hands-on HVAC troubleshooting, Hands-on HVAC repair experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Maintenance Technician – Make Ready \uD83D\uDCCD Bexley Clearfork | Fort Worth, TX Why You’ll Want This Job Weinstein Properties is looking for a Maintenance Technician - Make Ready to join our team. This is a stable, long-term opportunity at a well-maintained community with strong leadership, competitive pay, and excellent benefits. If you enjoy hands-on work, problem-solving, and being part of a team that takes pride in its community, this could be a great fit. What We Offer Pay: starting at $19/hour | $20/hour (if you are or when you become EPA certified) On-call pay: $150/week (calls or no calls) Additional $150 per holiday on-call Quarterly bonus: Up to $980 based on property and team performance Benefits: Rent discount PTO, paid holidays, birthday time off Medical, dental, vision 401(k) with company match Employee Assistance Program Referral program Maintenance Technician - Make Ready Schedule Full-time: Monday–Friday, 8:00am–5:00pm (40 hours/week) Participation in a rotating emergency on-call schedule with the team What You’ll Be Doing Complete turn/make ready process of vacant apartments Assist team with maintenance work orders as needed Work with the team to maintain property grounds on a daily basis Help maintain the overall appearance of the community, including grounds, amenities, and pool areas Work collaboratively with the maintenance team to keep the property running smoothly What We’re Looking For At least 1 year of apartment or residential maintenance experience No HVAC certification required if you are willing to train and work towards getting certified EPA certification (Type II or Universal) and hands-on HVAC troubleshooting / repair experience is a plus! Strong customer service mindset and pride in your work Ability to work independently while being a reliable team player Comfortable working in a fast-paced environment and prioritizing tasks Physical & Technical Requirements Reliable transportation Comfortable using computers and mobile devices (Outlook, work order systems, etc.) Ability to drive a golf cart Ability to lift up to 75 lbs and work indoors/outdoors year-round Ability to climb stairs and ladders Experience using hand and power tools Background check required Why Weinstein Properties We own and manage our communities, which means: Consistent standards Supportive leadership Real opportunities for advancement Many of our team members grow their careers here—and we actively support that growth. Interested? If this sounds like the right opportunity for you, apply online today. If you’re looking for stability, growth, and a team that values your skills, we’d love to talk.", "summaryDescription" : "Maintenance Technician - Make Ready at Weinstein Properties. Skills: Apartment maintenance, Residential maintenance. Complete turn process vacant apartments. Complete make ready process vacant apartments", "postedDate" : "2026-06-11T22:00:16.350", "createdAt" : "2026-06-11T22:00:16.350", "lastUpdated" : "2026-06-14T20:34:49.340", "ingestTimestamp" : "2026-06-11T22:00:16.350", "mongoId" : "6a2a5dbb74d8ee00a061a13c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 39520, "salaryAnnualMax" : 41600, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Hand tool usage", "Power tool usage", "Apartment maintenance", "Residential maintenance", "EPA Type II certification", "Universal EPA certification" ], "skillCount" : 6, "jobCategory" : "other", "jobSubcategory" : "apartment-community-roles--maintenance", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a5dbb74d8ee00a061a139", "title" : "Maintenance Technician - Make Ready", "company" : "Weinstein Properties", "salary" : { "min" : 19.0, "max" : 20.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Henrico, Virginia, United States", "locations" : [ "Henrico", "Virginia", "United States" ], "certifications" : [ "EPA certification (Type II or Universal)" ], "timestamp" : "2026-06-14T20:32:02.116", "fingerprint" : "967776d3f979a3caeedcf1b755ff62433f0930a835cc36b2fc3c77f41f372d60", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/weinsteinproperties/jobs/7997914", "externalId" : "7997914", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Henrico", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.5131191,-77.3465081" } ], "locationText" : "Henrico, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "hardSkillsList" : [ "HVAC troubleshooting", "HVAC repair" ], "hardSkills" : [ { "name" : "HVAC troubleshooting", "level" : "intermediate" }, { "name" : "HVAC repair", "level" : "intermediate" } ], "majorSkills" : "Apartment maintenance, Make ready process", "majorSkillsList" : [ "Apartment maintenance", "Make ready process" ], "coreResponsibilities" : "Complete turn/make ready process of vacant apartments, Assist with maintenance work orders, Maintain property grounds, Maintain overall appearance of community, Maintain amenities, Maintain pool areas, Keep property running smoothly", "teamCollaboration" : "Maintenance team", "domainKnowledge" : "Residential maintenance", "domainList" : [ "residential-maintenance" ], "domainSpecificKnowledge" : [ "Residential maintenance" ], "toolProficiency" : [ "Hand tools", "Power tools", "Work order systems" ], "continuousLearning" : "HVAC training", "problemSolvingSkills" : "Problem-solving", "specialRequirements" : "Reliable transportation, Ability to drive golf cart, Lift up to 75 lbs, Work indoors/outdoors, Climb stairs and ladders, On-call schedule", "qualificationsBasic" : "1 year of apartment maintenance experience, Willing to train for HVAC certification", "qualificationsPreferred" : "EPA certification (Type II or Universal), Hands-on HVAC troubleshooting / repair experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "** $1500 SIGN ON BONUS ** Maintenance Technician – Make Ready \uD83D\uDCCD Richmond, VA | Locations: Henrico Why You’ll Want This Job Weinstein Properties is looking for a Maintenance Technician - Make Ready to join our team. This is a stable, long-term opportunity at a well-maintained community with strong leadership, competitive pay, and excellent benefits. If you enjoy hands-on work, problem-solving, and being part of a team that takes pride in its community, this could be a great fit. What We Offer Pay: starting at $19/hour | $20/hour (if you are or when you become EPA certified) $1,500 sign-on bonus (details discussed during interview) On-call pay: $150/week (calls or no calls) Additional $150 per holiday on-call Quarterly bonus: Up to $980 based on property and team performance Benefits: Rent discount PTO, paid holidays, birthday time off Medical, dental, vision 401(k) with company match Employee Assistance Program Referral program Maintenance Technician - Make Ready Schedule Full-time: Monday–Friday, 8:00am–5:00pm (40 hours/week) Participation in a rotating emergency on-call schedule with the team What You’ll Be Doing Complete turn/make ready process of vacant apartments Assist team with maintenance work orders as needed Work with the team to maintain property grounds on a daily basis Help maintain the overall appearance of the community, including grounds, amenities, and pool areas Work collaboratively with the maintenance team to keep the property running smoothly What We’re Looking For At least 1 year of apartment or residential maintenance experience No HVAC certification required if you are willing to train and work towards getting certified EPA certification (Type II or Universal) and hands-on HVAC troubleshooting / repair experience is a plus! Strong customer service mindset and pride in your work Ability to work independently while being a reliable team player Comfortable working in a fast-paced environment and prioritizing tasks Physical & Technical Requirements Reliable transportation Comfortable using computers and mobile devices (Outlook, work order systems, etc.) Ability to drive a golf cart Ability to lift up to 75 lbs and work indoors/outdoors year-round Ability to climb stairs and ladders Experience using hand and power tools Background check required Why Weinstein Properties We own and manage our communities, which means: Consistent standards Supportive leadership Real opportunities for advancement Many of our team members grow their careers here—and we actively support that growth. Interested? If this sounds like the right opportunity for you, apply online today. If you’re looking for stability, growth, and a team that values your skills, we’d love to talk. * sign on bonus details to be discussed during the interview process. Can also email your interest to jobs@weinsteinproperties.com.", "summaryDescription" : "Maintenance Technician - Make Ready at Weinstein Properties. Skills: Apartment maintenance, Make ready process. Complete turn/make ready process of vacant apartments. 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This is a stable, long-term opportunity at a well-maintained community with strong leadership, competitive pay, and excellent benefits. If you enjoy hands-on work, problem-solving, and being part of a team that takes pride in its community, this could be a great fit. What We Offer Pay: starting at $19/hour | $20/hour (if you are or when you become EPA certified) On-call pay: $150/week (calls or no calls) Additional $150 per holiday on-call Quarterly bonus: Up to $980 based on property and team performance Benefits: Rent discount PTO, paid holidays, birthday time off Medical, dental, vision 401(k) with company match Employee Assistance Program Referral program Maintenance Technician - Make Ready Schedule Full-time: Monday–Friday, 8:00am–5:00pm (40 hours/week) Participation in a rotating emergency on-call schedule with the team What You’ll Be Doing Complete turn/make ready process of vacant apartments Assist team with maintenance work orders as needed Work with the team to maintain property grounds on a daily basis Help maintain the overall appearance of the community, including grounds, amenities, and pool areas Work collaboratively with the maintenance team to keep the property running smoothly What We’re Looking For At least 1 year of apartment or residential maintenance experience No HVAC certification required if you are willing to train and work towards getting certified EPA certification (Type II or Universal) and hands-on HVAC troubleshooting / repair experience is a plus! Strong customer service mindset and pride in your work Ability to work independently while being a reliable team player Comfortable working in a fast-paced environment and prioritizing tasks Physical & Technical Requirements Reliable transportation Comfortable using computers and mobile devices (Outlook, work order systems, etc.) Ability to drive a golf cart Ability to lift up to 75 lbs and work indoors/outdoors year-round Ability to climb stairs and ladders Experience using hand and power tools Background check required Why Weinstein Properties We own and manage our communities, which means: Consistent standards Supportive leadership Real opportunities for advancement Many of our team members grow their careers here—and we actively support that growth. Interested? If this sounds like the right opportunity for you, apply online today. If you’re looking for stability, growth, and a team that values your skills, we’d love to talk.", "summaryDescription" : "Maintenance Technician - Make Ready at Weinstein Properties. Skills: Apartment maintenance, Residential maintenance, Make ready process. Complete turn/make ready process of vacant apartments. Assist team with maintenance work orders", "postedDate" : "2026-06-11T20:46:07.711", "createdAt" : "2026-06-11T20:46:07.711", "lastUpdated" : "2026-06-14T21:00:31.488", "ingestTimestamp" : "2026-06-11T20:46:07.711", "mongoId" : "6a2a5dbb74d8ee00a061a137", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 39520, "salaryAnnualMax" : 41600, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "HVAC troubleshooting", "HVAC repair", "Apartment maintenance", "Residential maintenance", "Make ready process", "EPA certification (Type II or Universal)", "Hand tools", "Power tools", "Work order systems" ], "skillCount" : 9, "jobCategory" : "other", "jobSubcategory" : "apartment-community-roles--maintenance", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a5dbb74d8ee00a061a13a", "title" : "Maintenance Technician - Make Ready", "company" : "Weinstein Properties", "salary" : { "min" : 20.0, "max" : 21.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Nashville, Tennessee, United States", "locations" : [ "Nashville", "Tennessee", "United States" ], "certifications" : [ "EPA certification (Type II or Universal)" ], "timestamp" : "2026-06-13T22:54:03.783", "fingerprint" : "87f0c88a1dd3158ca6c3baff0bd02ccf1651966175f32023cb1a0968aa3f1fa0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/weinsteinproperties/jobs/7994253", "externalId" : "7994253", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nashville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1622767,-86.7742984" } ], "locationText" : "Nashville, Tennessee, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "professionalSkills" : [ "Customer service" ], "hardSkillsList" : [ "HVAC troubleshooting", "HVAC repair" ], "hardSkills" : [ { "name" : "HVAC troubleshooting", "level" : "intermediate" }, { "name" : "HVAC repair", "level" : "intermediate" } ], "majorSkills" : "Apartment maintenance, Make ready process", "majorSkillsList" : [ "Apartment maintenance", "Make ready process" ], "coreResponsibilities" : "Complete turn/make ready process of vacant apartments, Assist team with maintenance work orders, Maintain property grounds, Maintain overall appearance of the community, Maintain amenities, Maintain pool areas, Keep the property running smoothly", "teamCollaboration" : "Maintenance team", "domainKnowledge" : "Residential maintenance", "domainList" : [ "residential-maintenance" ], "domainSpecificKnowledge" : [ "Residential maintenance" ], "toolProficiency" : [ "Work order systems", "Hand tools", "Power tools" ], "continuousLearning" : "Train for HVAC certification", "problemSolvingSkills" : "Problem-solving", "specialRequirements" : "Rotating emergency on-call schedule, Comfortable working in fast-paced environment, Prioritizing tasks, Reliable transportation, Comfortable using computers, Comfortable using mobile devices, Ability to drive a golf cart, Ability to lift up to 75 lbs, Work indoors/outdoors year-round, Ability to climb stairs, Ability to climb ladders, Background check required", "outcomesObjectives" : "Property and team performance", "qualificationsBasic" : "1 year apartment maintenance experience, Willing to train for HVAC certification", "qualificationsPreferred" : "EPA certification (Type II or Universal), Hands-on HVAC troubleshooting / repair experience, EPA certification (Type II or Universal) and hands-on HVAC troubleshooting / repair experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Maintenance Technician – Make Ready \uD83D\uDCCD Nashville, TN | Locations: West / The Nations area Germantown area Why You’ll Want This Job Weinstein Properties is looking for a Maintenance Technician - Make Ready to join our team in Nashville. This is a stable, long-term opportunity at a well-maintained community with strong leadership, competitive pay, and excellent benefits. If you enjoy hands-on work, problem-solving, and being part of a team that takes pride in its community, this could be a great fit. What We Offer Pay: starting at $20/hour | $21/hour (if you are or when you become EPA certified) On-call pay: $150/week (calls or no calls) Additional $150 per holiday on-call Quarterly bonus: Up to $980 based on property and team performance Benefits: Rent discount PTO, paid holidays, birthday time off Medical, dental, vision 401(k) with company match Employee Assistance Program Referral program Maintenance Technician - Make Ready Schedule Full-time: Monday–Friday, 8:00am–5:00pm (40 hours/week) Participation in a rotating emergency on-call schedule with the team What You’ll Be Doing Complete turn/make ready process of vacant apartments Assist team with maintenance work orders as needed Work with the team to maintain property grounds on a daily basis Help maintain the overall appearance of the community, including grounds, amenities, and pool areas Work collaboratively with the maintenance team to keep the property running smoothly What We’re Looking For At least 1 year of apartment or residential maintenance experience No HVAC certification required if you are willing to train and work towards getting certified EPA certification (Type II or Universal) and hands-on HVAC troubleshooting / repair experience is a plus! Strong customer service mindset and pride in your work Ability to work independently while being a reliable team player Comfortable working in a fast-paced environment and prioritizing tasks Physical & Technical Requirements Reliable transportation Comfortable using computers and mobile devices (Outlook, work order systems, etc.) Ability to drive a golf cart Ability to lift up to 75 lbs and work indoors/outdoors year-round Ability to climb stairs and ladders Experience using hand and power tools Background check required Why Weinstein Properties We own and manage our communities, which means: Consistent standards Supportive leadership Real opportunities for advancement Many of our team members grow their careers here—and we actively support that growth. Interested? If this sounds like the right opportunity for you, apply online today. If you’re looking for stability, growth, and a team that values your skills, we’d love to talk.", "summaryDescription" : "Maintenance Technician - Make Ready at Weinstein Properties. Skills: Apartment maintenance, Make ready process. Complete turn/make ready process of vacant apartments. Assist team with maintenance work orders", "postedDate" : "2026-06-11T18:43:12.986", "createdAt" : "2026-06-11T18:43:12.986", "lastUpdated" : "2026-06-13T22:54:03.783", "ingestTimestamp" : "2026-06-11T18:43:12.986", "mongoId" : "6a2a5dbb74d8ee00a061a13a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 43680, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "HVAC troubleshooting", "HVAC repair", "Apartment maintenance", "Make ready process", "Customer service", "Residential maintenance", "EPA certification (Type II or Universal)", "Work order systems", "Hand tools", "Power tools" ], "skillCount" : 10, "jobCategory" : "other", "jobSubcategory" : "apartment-community-roles--maintenance", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a60b574d8ee00a06204b7", "title" : "Senior Raw Materials QC Analyst", "company" : "Sanofi", "industry" : "Pharmaceuticals", "salary" : { "min" : 480000.0, "max" : 840000.0, "currency" : "EGP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Raw Materials QC Analyst in Cairo, Egypt, adjusted for seniority, industry, and company size." }, "location" : "Cairo", "locations" : [ "Cairo", "Egypt" ], "timestamp" : "2026-06-12T14:33:57.087", "fingerprint" : "5ab85bdf8ccc5f8d8e08751ddd20cb2e34f5b04c09f272b47414b0f45c051238", "source" : "workday", "language" : "en", "applyUrl" : "https://sanofi.wd3.myworkdayjobs.com/SanofiCareers/job/Cairo/Senior-Raw-Materials-QC-Analyst_R2858695-1", "externalId" : "R2858695", "industryFunction" : { }, "locationPoint" : "41.00112,-98.60757", "structuredLocations" : [ { "city" : "Cairo", "country" : "Egypt", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "30.0443879,31.2357257" } ], "locationText" : "Cairo, Egypt", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 7, "experienceLevel" : "Senior", "technicalSkills" : "SAP, Nitrogen analysis, Compressed Air analysis", "professionalSkills" : [ "Change control creation", "Specification creation", "Reduced testing" ], "hardSkillsList" : [ "Instrumental analysis technique", "HSE Knowledge" ], "softSkillsList" : [ "Leadership", "Cooperative" ], "hardSkills" : [ { "name" : "Instrumental analysis technique", "level" : "intermediate" }, { "name" : "HSE Knowledge", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Cooperative" } ], "majorSkills" : "Raw materials analysis, QC, CAPA", "majorSkillsList" : [ "Raw materials analysis", "QC", "CAPA" ], "coreResponsibilities" : "Analyze raw materials, Monitor release cycle time KPI, Coordinate material release demand, Coach raw materials analysts, Follow-up release weekly plan, Assist Lab Head organizing work, Create change control, Follow-up expert assessment, Confirm actions implementation, Create specification, Review specification, Manage release cycle time, Lead OOS investigations, Reach possible root causes, Suggest CAPA, Perform Nitrogen analysis, Perform Compressed Air analysis, Implement gap analysis, Issue SOPs, Review SOPs, Update SOPs, Responsible for reduced testing, Perform self inspection activities, Act as SAP system expert user", "teamCollaboration" : "Cooperate Transversally; Work as a team", "projectManagementSkills" : [ "Act for Change", "Strive for results", "Make Decisions" ], "domainKnowledge" : "Pharmacopoeias; Regulatory requirements; Raw materials; Auxiliary materials; Primary packing materials", "domainList" : [ "pharmacopoeias", "regulatory-requirements", "raw-materials", "auxiliary-materials", "primary-packing-materials" ], "domainSpecificKnowledge" : [ "Pharmacopoeias", "Regulatory requirements", "Raw materials", "Auxiliary materials", "Primary packing materials" ], "toolProficiency" : [ "SAP QM module" ], "communicationSkills" : "Good communication", "documentationSkills" : "SOPs", "continuousLearning" : "Pursue progress", "innovationCreativity" : "Creative", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Achieve full monograph testing", "qualificationsBasic" : "5-7 years of related experience, Bachelor Degree in Pharmacy or Science Related", "qualificationsPreferred" : "Experience in multinational company", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Key Responsibilities:** 1) Assigned for Raw materials analysis (API, Auxiliary and Primary packing). 2) Monitoring release cycle time KPI for Raw materials unit. 3) Coordinate with supply chain and production regarding material release demand. 4) Coach raw materials analysts’ team and follow-up release weekly plan for each analyst. 5) Assisting Lab Head in organizing work in unit through DCM board. 6) Change control creation, expert assessment follow-up and actions implementation confirmation. 7) Specification creation & reviewing to comply with current pharmacopoeias and regulatory requirements. 8) Release cycle time management for routine testing of raw/packaging materials. 9)Lead OOS investigations to reach possible root causes and suggesting CAPA. 10)Performing Nitrogen and Compressed Air analysis . 11) Implementation of gap analysis for all raw materials, aiming for full monograph testing. 12) Issuing, reviewing and updating relevant SOP's. 13) Responsible for reduced testing for materials supplied to site. 14) Self inspection activities in QC and Sampling area. 15) SAP system expert user (QM module). **JOB-HOLDER’s ENTRY REQUIREMENTS** _:_ Education: • Bachelor Degree in Pharmacy, or Science Related Experience: * 5-7 years of related experience in related positions, preferably in multinational company Special Knowledge/Skills: * Good computer skills * Familiar with new instrumental analysis technique * Good communication and leadership skills. * Creative, self-motivated, reliable and dynamic * Good Command of English * Ability to work individually and as a co-operative with a team work. * Have appropriate HSE Knowledge. competencies: * Stretch to go beyond the level we have operated at up until now * Take actions instead of waiting to be told what to do * Act in the interest of our patients and customers * Put the interests of the organization ahead of my own or those of our team * Act for Change, Strive for results, Cooperate Transversally, Commit to Customer * Think Strategically, Lead Teams, Develop People, Make Decisions # Pursue _progress_ , discover _extraordinary_ Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our [ALL IN video](https://www.youtube.com/watch?v=SkpDBZ-CJKw&t=67s) and check out our Diversity Equity and Inclusion actions at [sanofi.com](https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness)!", "summaryDescription" : "Senior Raw Materials QC Analyst at Sanofi. Skills: Raw materials analysis, QC, CAPA. Analyze raw materials. Monitor release cycle time KPI", "postedDate" : "2026-06-11T13:55:45.810", "createdAt" : "2026-06-11T13:55:45.732", "lastUpdated" : "2026-06-12T14:33:57.087", "ingestTimestamp" : "2026-06-11T13:55:45.732", "mongoId" : "6a2a60b574d8ee00a06204b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://sanofi.wd3.myworkdayjobs.com/SanofiCareers/job/Cairo/Senior-Raw-Materials-QC-Analyst_R2858695-1", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Instrumental analysis technique", "HSE Knowledge", "Leadership", "Cooperative", "Raw materials analysis", "QC", "CAPA", "Change control creation", "Specification creation", "Reduced testing", "Act for Change", "Strive for results", "Make Decisions", "Pharmacopoeias", "Regulatory requirements", "Raw materials", "Auxiliary materials", "Primary packing materials", "SAP QM module" ], "skillCount" : 19, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharmaceuticals" }, { "id" : "6a2aba0274d8ee00a06e70e9", "title" : "Lead Data/Data Modeling", "company" : "Fusion Consulting", "industry" : "Management Consulting", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data/Data Modeling role in Frankfurt am Main, Germany, adjusted for the Life Sciences industry and full-time employment." }, "location" : "Frankfurt am Main, HE, Germany", "locations" : [ "Frankfurt am Main", "HE", "Germany" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-14T01:23:49.886", "fingerprint" : "59683d8ad51632f5e77384c888c59d37953f39c6271a18422e2284e2f96ac3c3", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/FusionConsulting/744000131651519-lead-data-data-modeling", "externalId" : "744000131651519", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Frankfurt am Main", "state" : "Hesse", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.1106444,8.6820917" } ], "locationText" : "Frankfurt am Main, Hesse, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Scala, Spark, dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data governance", "Data quality", "Lifecycle management", "Data modeling", "Data architectures", "Business requirements" ], "hardSkillsList" : [ "Data modeling", "Data architecture", "Requirements gathering", "Prioritization", "Reporting" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Requirements gathering", "level" : "intermediate" }, { "name" : "Prioritization", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data Modeling, Data Architecture, Team Leadership", "majorSkillsList" : [ "Data Modeling", "Data Architecture", "Team Leadership" ], "coreResponsibilities" : "Lead data modelers, Manage data modelers, Provide guidance, Provide coaching, Oversee performance, Define team priorities, Allocate tasks, Ensure timely delivery, Act as point of contact, Facilitate workshops, Gather requirements, Prioritize requirements, Translate business requirements, Create data modeling solutions, Ensure alignment with expectations, Provide regular reporting, Report on team progress, Report on risks, Report on dependencies", "teamCollaboration" : "Global teamwork", "domainKnowledge" : "Life Sciences industry; Pharma; Healthcare; Animal Health; S4HANA; Data governance; Data quality; Data lifecycle management", "domainList" : [ "life-sciences-industry", "pharma", "healthcare", "animal-health", "s4hana", "data-governance", "data-quality", "data-lifecycle-management" ], "domainSpecificKnowledge" : [ "Life Sciences industry", "Pharma", "Healthcare", "Animal Health", "S4HANA", "Data governance", "Data quality", "Data lifecycle management" ], "toolProficiency" : [ "dbt", "Fivetran", "Airflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Delta Lake" ], "communicationSkills" : "Stakeholder management; Customer communication", "continuousLearning" : "Annual Training Budget; Continuous Learning", "innovationCreativity" : "Innovative solutions; Challenge the status quo", "problemSolvingSkills" : "Translate business needs; Technical solutions", "specialRequirements" : "25 days Workflex", "qualificationsBasic" : "Fluency in German, Fluency in English, Expertise in data modeling, Expertise in data architectures, Experience leading teams, Experience managing teams", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Swiss Delivery Excellence: Transforming Life Science Consulting Worldwide. Fusion Consulting is a globally leading Business and IT boutique consultancy specialized in the Life Sciences industry, partnering with leading companies in pharma, healthcare, and animal health. With over 450 employees and 25 offices worldwide, our mission is to revolutionize our clients' business transformation challenges and set new industry standards through innovative solutions. Focused on S4HANA, Data & Cloud, and innovative technologies, Fusion Consulting brings unparalleled expertise and commitment to excellence to every project we undertake. Grounded in our commitment to fast and intelligent decision-making, our client-first and open-hearted approach defines our ethos. With unwavering support and an entrepreneurial spirit, our global teamwork transcends boundaries and turns shared visions into reality. We are currently seeking a Lead Data Modelling professional to join our team in Germany, responsible for overseeing data modeling activities and ensuring alignment with strategic business objectives. * Lead and manage a team of data modelers, providing guidance, coaching, and performance oversight * Define team priorities, allocate tasks, and ensure timely delivery of milestones * Act as the primary point of contact for the customer and key business stakeholders for the data modeling team * Facilitate workshops for requirements gathering and prioritization * Translate business requirements into data modeling solutions and ensure alignment with expectations * Provide regular reporting on team progress, risks, and dependencies ## Qualifications Key Skills & Experience * Ability to translate business needs into technical solutions * Excellent stakeholder management and communication skills * Strong understanding of data governance, quality, and lifecycle management * Expertise in data modeling and data architectures * Experience leading and managing teams of data professionals * Experience in delivering data-driven projects in complex environments * Fluency in German and English are a must ## Additional Information Why Fusion? At Fusion, we unite entrepreneurial minds from around the globe to develop and implement game-changing solutions that build lasting relationships with our clients. We value employees who challenge the status quo through innovation, adapt to diverse client needs in ever-changing environments, and commit to continuous learning—for themselves and their colleagues. We provide a competitive salary and benefits package, along with an outstanding work environment that fosters long-term career development opportunities. Our Benefits: * Workflex: Enjoy 25 days of flexibility to work from your preferred global location. * Flexible Time Off: Take the time you need to recharge and maintain a healthy work-life balance, with flexibility beyond standard holiday allowances. * Annual Training Budget: Access CHF 1,500 to invest in your professional development and skill enhancement. * Continuous Learning: Thrive in an environment that encourages ongoing learning, with opportunities to develop new skills and broaden your expertise. * Global Mobility Support: Gain assistance with international assignments, visa/permit support, and relocation services. * Unity Scheme: Benefit from loyalty rewards starting after 3 years of service. * Referral Program: Earn a referral fee for every successfully hired referee. * Local Benefits: Access a range of country-specific benefits tailored to your location. * People Focus: Unite with the best global talent in life sciences, empowered to grow and collaborate in a vibrant environment. * Truly Global: Join a truly global organization where mutual support, teamwork, and diversity drive our collective success.", "summaryDescription" : "Lead Data/Data Modeling at Fusion Consulting. Skills: Data Modeling, Data Architecture, Team Leadership. Lead data modelers. Manage data modelers", "postedDate" : "2026-06-11T11:34:48.000", "createdAt" : "2026-06-12T00:05:47.703", "lastUpdated" : "2026-06-14T01:23:49.886", "ingestTimestamp" : "2026-06-12T00:05:47.703", "mongoId" : "6a2aba0274d8ee00a06e70e9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data architecture", "Requirements gathering", "Prioritization", "Reporting", "Leadership", "Mentoring", "Data Modeling", "Data Architecture", "Team Leadership", "Data governance", "Data quality", "Lifecycle management", "Data architectures", "Business requirements", "Life Sciences industry", "Pharma", "Healthcare", "Animal Health", "S4HANA", "Data lifecycle management", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "dbt", "Fivetran", "Airflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Delta Lake" ], "skillCount" : 33, "jobCategory" : "other", "jobSubcategory" : "Data Excellence & Strategy (DES)", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Life Sciences" }, { "id" : "6a2b5c3874d8ee00a07bba17", "title" : "Make-Ready Specialist", "company" : "The Chloe", "industry" : "Real estate", "salary" : { "min" : 300.0, "max" : 300.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "The Chloe, Kyle, TX", "locations" : [ "The Chloe, Kyle, TX", "United States of America" ], "timestamp" : "2026-06-15T00:34:20.098", "fingerprint" : "2fd16531c82b742cdb5be724b1053c4f633ff0f844895256b64b41c8fa8aa229", "source" : "workday", "language" : "en", "applyUrl" : "https://greystar.wd1.myworkdayjobs.com/External/job/The-Chloe-Kyle-TX/Make-Ready-Specialist---The-Chloe_R0191283", "externalId" : "R0191283", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kyle", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.9892928,-97.8772103" } ], "locationText" : "Kyle, Texas, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Property management", "Real estate", "Mechanical work", "Technical repairs", "Maintenance documentation" ], "hardSkillsList" : [ "Sheetrock repair", "Caulking", "Sealing", "Painting", "Pressure washing", "Grounds maintenance" ], "softSkillsList" : [ "Customer service" ], "hardSkills" : [ { "name" : "Sheetrock repair", "level" : "intermediate" }, { "name" : "Caulking", "level" : "intermediate" }, { "name" : "Sealing", "level" : "intermediate" }, { "name" : "Painting", "level" : "intermediate" }, { "name" : "Pressure washing", "level" : "intermediate" }, { "name" : "Grounds maintenance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer service" } ], "majorSkills" : "Apartment turn, Maintenance, Repairs", "majorSkillsList" : [ "Apartment turn", "Maintenance", "Repairs" ], "coreResponsibilities" : "Perform technical and mechanical work, Ensure timely turn of vacant apartment homes, Complete needed repairs and improvements, Follow community's make-ready checklist, Caulk and seal around windows, sinks, toilets, bathtubs,, Inspect sheetrock for damage, Repair and/or replace sheetrock, Perform touch-up paints, Assist in maintaining grounds, Assist in maintaining common areas, Assist in maintaining amenities, Pick up trash and debris, Pressure-wash breezeways, Pressure-wash pool areas, Perform general cleaning, Paint curbs, Paint signage, Support cost-cutting programs, Fix rather than replace parts, Avoid waste of materials, Practice correct use of tools, Complete make-ready checklist, Complete required maintenance documentation, Comply with safety and risk-management policies, Attend safety meetings, Complete required safety training, Report accidents and incidents promptly, Treat residents with respect, Answer resident questions, Respond sensitively to complaints, Complete assigned work orders", "teamCollaboration" : "Work with Service Supervisor; Work with Community Manager", "domainKnowledge" : "Rental residential real estate", "domainList" : [ "rental-residential-real-estate" ], "domainSpecificKnowledge" : [ "Rental residential real estate" ], "communicationSkills" : "Answer resident questions; Respond to complaints", "documentationSkills" : "Maintenance documentation", "continuousLearning" : "Complete required training", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Travel may be required, Flexible work schedule, On-call evenings, On-call weekends, On-call holidays, Physical demands", "outcomesObjectives" : "Meet established quality standards; Meet market ready condition standards", "qualificationsBasic" : "Complete make-ready checklist, Complete maintenance documentation, Comply with safety policies, Demonstrate customer service skills, Stand, walk, sit for extended periods, Bend, stoop, climb ladders, Reach, carry objects, crawl, Work inside and outside, Work in all weather conditions, Push, pull, lift up to 25 lbs, Push, pull, lift up to 50 lbs with assistance, Work flexible schedule, Take call evenings, weekends, holidays", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**ABOUT GREYSTAR** Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in more than 265 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing over one million units/beds globally. Across its platforms, Greystar has nearly $79 billion of assets under management, including over $35 billion of development assets and over $36.5 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit [www.greystar.com](http://www.greystar.com). **JOB DESCRIPTION SUMMARY** Ensures that vacant units meet the established quality standards for re-leasing by performing technical and mechanical work that ensures the timely turn of all vacant apartment homes to market ready condition that meet the Company’s standards for occupancy. **JOB DESCRIPTION** * Completes all needed repairs and improvements to apartment homes prior to resident move-in by following the community’s make-ready checklist. * Ensures apartment homes have been properly caulked and sealed as needed around windows, sink areas, toilets, bathtubs, and showers. * Inspects all sheetrock for damage, and repairs and/or replaces as needed. * Performs touch-up paints for vacant and occupied units as directed by Service Supervisor or Community Manager. * Assists in maintaining the grounds, common areas, and amenities by picking up trash and debris, pressure-washing breezeways and pool areas, performing general cleaning, and painting curbs and signage as needed. * Supports cost-cutting and expense control programs by fixing rather than replacing parts when possible, not being wasteful with materials and supplies, and practicing the correct use for tools and equipment. * Completes make-ready checklist and all other required maintenance documentation in a timely manner as required by the Supervisor or Manager. * Complies with Greystar’s safety and risk-management policies by attending and participating in the community’s routine safety meetings, completing required training on OSHA and other safety related laws and requirements, and by reporting accidents and incidents promptly and accurately. * Demonstrates customer services skills by treating residents and others with respect, answering resident questions, responding sensitively to complaints about maintenance services, and completing assigned work orders with efficiency and urgency. # Physical Demands: * Incumbents need to be able to stand, walk, and/or sit for extended periods of time and bend, stoop, climb ladders, reach, carry objects, and crawl in confined areas. * Incumbents must be able to work inside and outside in all weather conditions (rain, snow, heat, hail, wind, sleet). * Incumbents must be able to push, pull, lift, carry, or maneuver weights of up to twenty-five (25) pounds independently and fifty (50) pounds with assistance. * Rare or regular travel may be required to assist other properties as needed, attend training classes, business meetings, or other situations necessary for the accomplishment of some or all of the daily responsibilities of this position. * Incumbents must be able to work a flexible work schedule, which includes taking “call” during evenings, weekends and holidays. #LI-CR2 The hourly range for this position is $18.00 - $20.00. . **Additional Compensation** : Many factors go into determining employee pay within the posted range including business requirements, prior experience, current skills and geographical location. * _Corporate Positions_ : In addition to the base salary, this role may be eligible to participate in a quarterly or annual bonus program based on individual and company performance. * _Onsite Property Positions_ : In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs. **Robust Benefits Offered*:** * Competitive Medical, Dental, Vision, and Disability & Life insurance benefits. Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service. * Generous Paid Time off. All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure. * For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability. * 6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter). * 401(k) with Company Match up to 6% of pay after 6 months of service. * Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy). * Employee Assistance Program. * Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans. * Charitable giving program and benefits. _*Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listed information above due to Collective Bargaining Agreements and/or local governing authority._ Greystar will consider for employment qualified applicants with arrest and conviction records. _**Important Notice:** Greystar will never request your banking details or other sensitive personal information during the interview process. Greystar does not conduct any interviews via text or messaging, and all communication will come from official Greystar email addresses (@greystar.com). If you receive suspicious requests, please report them immediately to AskHR@greystar.com._", "summaryDescription" : "Make-Ready Specialist at The Chloe. Skills: Apartment turn, Maintenance, Repairs. Perform technical and mechanical work. Ensure timely turn of vacant apartment homes", "postedDate" : "2026-06-10T06:00:26.877", "createdAt" : "2026-06-12T06:00:26.777", "lastUpdated" : "2026-06-15T00:34:20.098", "ingestTimestamp" : "2026-06-12T06:00:26.777", "mongoId" : "6a2b5c3874d8ee00a07bba17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://greystar.wd1.myworkdayjobs.com/External/job/The-Chloe-Kyle-TX/Make-Ready-Specialist---The-Chloe_R0191283", "salaryAnnualMax" : 300, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Sheetrock repair", "Caulking", "Sealing", "Painting", "Pressure washing", "Grounds maintenance", "Customer service", "Apartment turn", "Maintenance", "Repairs", "Property management", "Real estate", "Mechanical work", "Technical repairs", "Maintenance documentation", "Rental residential real estate" ], "skillCount" : 16, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real estate" }, { "id" : "6a2b5c3874d8ee00a07bba1f", "title" : "Make Ready Specialist", "company" : "Greystar", "salary" : { "min" : 300.0, "max" : 300.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Vue 21, Colorado Springs, CO", "locations" : [ "Vue 21, Colorado Springs, CO", "United States of America" ], "timestamp" : "2026-06-14T23:38:29.058", "fingerprint" : "474b0615dd536a7416821c889916acb41268afa0ebb0975e3d2a3ed5ad72f939", "source" : "workday", "language" : "en", "applyUrl" : "https://greystar.wd1.myworkdayjobs.com/External/job/Vue-21-Colorado-Springs-CO/Make-Ready-Specialist--View-21_R0190841", "externalId" : "R0190841", "locationPoint" : "38.83388,-104.82136", "structuredLocations" : [ { "city" : "Colorado Springs", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8339578,-104.8253480" } ], "locationText" : "Colorado Springs, Colorado, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Property management", "Real estate", "Maintenance documentation" ], "hardSkillsList" : [ "Mechanical work", "Technical repairs", "Sheetrock repair", "Painting", "Pressure washing", "General cleaning", "Caulking", "Sealing" ], "softSkillsList" : [ "Customer service" ], "hardSkills" : [ { "name" : "Mechanical work", "level" : "intermediate" }, { "name" : "Technical repairs", "level" : "intermediate" }, { "name" : "Sheetrock repair", "level" : "intermediate" }, { "name" : "Painting", "level" : "intermediate" }, { "name" : "Pressure washing", "level" : "intermediate" }, { "name" : "General cleaning", "level" : "intermediate" }, { "name" : "Caulking", "level" : "intermediate" }, { "name" : "Sealing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer service" } ], "majorSkills" : "Make-ready process, Groundskeeper duties, Maintenance", "majorSkillsList" : [ "Make-ready process", "Groundskeeper duties", "Maintenance" ], "coreResponsibilities" : "Maintain clean community grounds, Assist in make-ready process, Assist in training on work orders, Ensure vacant units meet quality standards, Perform technical work, Perform mechanical work, Ensure timely turn of vacant apartment homes, Complete needed repairs and improvements, Follow community's make-ready checklist, Ensure units are properly caulked and sealed, Inspect sheetrock for damage, Repair sheetrock, Replace sheetrock, Perform touch-up paints, Maintain grounds, Maintain common areas, Maintain amenities, Support cost-cutting programs, Support expense control programs, Fix parts rather than replacing, Avoid waste with materials, Avoid waste with supplies, Practice correct use of tools, Practice correct use of equipment, Complete make-ready checklist, Complete required maintenance documentation, Comply with safety policies, Comply with risk-management policies, Participate in safety meetings, Complete safety training, Report accidents promptly, Report incidents promptly, Demonstrate customer service skills, Treat residents with respect, Treat others with respect, Answer resident questions, Respond sensitively to complaints, Complete assigned work orders with efficiency, Complete assigned work orders with urgency", "teamCollaboration" : "Service Supervisor; Community Manager; Residents", "domainKnowledge" : "Rental residential real estate", "domainList" : [ "rental-residential-real-estate" ], "domainSpecificKnowledge" : [ "Rental residential real estate" ], "toolProficiency" : [ "Tools", "Equipment" ], "communicationSkills" : "Customer service skills", "documentationSkills" : "Maintenance documentation", "continuousLearning" : "Required training on OSHA", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Stand for extended periods, Walk for extended periods, Sit for extended periods, Bend for extended periods, Stoop for extended periods, Climb ladders, Reach, Carry objects, Crawl in confined areas, Work inside in all weather, Work outside in all weather, Push 25 pounds, Pull 25 pounds, Lift 25 pounds, Carry 25 pounds, Maneuver 25 pounds, Push 50 pounds with assistance, Pull 50 pounds with assistance, Lift 50 pounds with assistance, Carry 50 pounds with assistance, Maneuver 50 pounds with assistance, Rare travel may be required, Regular travel may be required, Flexible work schedule, On-call evenings, On-call weekends, On-call holidays", "outcomesObjectives" : "Ensure timely turn of vacant apartment homes", "qualificationsBasic" : "60% groundskeeper duties, 40% make-ready process assistance, Training on work orders, Complete needed repairs and improvements, Properly caulk and seal, Inspect sheetrock for damage, Repair and/or replace sheetrock, Perform touch-up paints, Maintain grounds, common areas, and amenities, Pick up trash and debris, Pressure-wash breezeways and pool areas, Perform general cleaning, Paint curbs and signage, Fix rather than replace parts, Do not be wasteful with materials, Practice correct use for tools, Complete make-ready checklist, Complete other maintenance documentation, Comply with safety and risk-management policies, Attend and participate in safety meetings, Complete required training on OSHA, Report accidents and incidents promptly, Demonstrate customer service skills, Treat residents and others with respect, Answer resident questions, Respond sensitively to complaints, Complete assigned work orders with efficiency, Stand for extended periods, Walk for extended periods, Sit for extended periods, Bend for extended periods, Stoop for extended periods, Climb ladders, Reach, Carry objects, Crawl in confined areas, Work inside in all weather, Work outside in all weather, Push weights up to 25 pounds, Pull weights up to 25 pounds, Lift weights up to 25 pounds, Carry weights up to 25 pounds, Maneuver weights up to 25 pounds, Push weights up to 50 pounds with assistance, Pull weights up to 50 pounds with assistance, Lift weights up to 50 pounds with assistance, Carry weights up to 50 pounds with assistance, Maneuver weights up to 50 pounds with assistance, Work a flexible work schedule, Take call during evenings, Take call during weekends, Take call during holidays", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "**ABOUT GREYSTAR** Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in more than 265 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing over one million units/beds globally. Across its platforms, Greystar has nearly $79 billion of assets under management, including over $35 billion of development assets and over $36.5 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit [www.greystar.com](http://www.greystar.com). **JOB DESCRIPTION SUMMARY** This is a hybrid position that will entail roughly 60% groundskeeper duties to maintain clean community grounds. The other 40% will be assisting in the make-ready process, as well as training on work orders. Ensures that vacant units meet the established quality standards for re-leasing by performing technical and mechanical work that ensures the timely turn of all vacant apartment homes to market ready condition that meet the Company’s standards for occupancy. **JOB DESCRIPTION** * Completes all needed repairs and improvements to apartment homes prior to resident move-in by following the community’s make-ready checklist. * Ensures apartment homes have been properly caulked and sealed as needed around windows, sink areas, toilets, bathtubs, and showers. * Inspects all sheetrock for damage, and repairs and/or replaces as needed. * Performs touch-up paints for vacant and occupied units as directed by Service Supervisor or Community Manager. * Assists in maintaining the grounds, common areas, and amenities by picking up trash and debris, pressure-washing breezeways and pool areas, performing general cleaning, and painting curbs and signage as needed. * Supports cost-cutting and expense control programs by fixing rather than replacing parts when possible, not being wasteful with materials and supplies, and practicing the correct use for tools and equipment. * Completes make-ready checklist and all other required maintenance documentation in a timely manner as required by the Supervisor or Manager. * Complies with Greystar’s safety and risk-management policies by attending and participating in the community’s routine safety meetings, completing required training on OSHA and other safety related laws and requirements, and by reporting accidents and incidents promptly and accurately. * Demonstrates customer services skills by treating residents and others with respect, answering resident questions, responding sensitively to complaints about maintenance services, and completing assigned work orders with efficiency and urgency. # Physical Demands: * Incumbents need to be able to stand, walk, and/or sit for extended periods of time and bend, stoop, climb ladders, reach, carry objects, and crawl in confined areas. * Incumbents must be able to work inside and outside in all weather conditions (rain, snow, heat, hail, wind, sleet). * Incumbents must be able to push, pull, lift, carry, or maneuver weights of up to twenty-five (25) pounds independently and fifty (50) pounds with assistance. * Rare or regular travel may be required to assist other properties as needed, attend training classes, business meetings, or other situations necessary for the accomplishment of some or all of the daily responsibilities of this position. * Incumbents must be able to work a flexible work schedule, which includes taking “call” during evenings, weekends and holidays. #LI-HT1 The hourly range for this position is $18.00 - $20.00 **Additional Compensation** : Many factors go into determining employee pay within the posted range including business requirements, prior experience, current skills and geographical location. * _Corporate Positions_ : In addition to the base salary, this role may be eligible to participate in a quarterly or annual bonus program based on individual and company performance. * _Onsite Property Positions_ : In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs. **Robust Benefits Offered*:** * Competitive Medical, Dental, Vision, and Disability & Life insurance benefits. Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service. * Generous Paid Time off. All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure. * For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability. * 6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter). * 401(k) with Company Match up to 6% of pay after 6 months of service. * Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy). * Employee Assistance Program. * Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans. * Charitable giving program and benefits. _*Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listed information above due to Collective Bargaining Agreements and/or local governing authority._ Greystar will consider for employment qualified applicants with arrest and conviction records. _**Important Notice:** Greystar will never request your banking details or other sensitive personal information during the interview process. Greystar does not conduct any interviews via text or messaging, and all communication will come from official Greystar email addresses (@greystar.com). If you receive suspicious requests, please report them immediately to AskHR@greystar.com._ **ANTICIPATED CLOSING DATE** July 9, 2026 This date may be subject to change due to evolving business needs.", "summaryDescription" : "Make Ready Specialist at Greystar. Skills: Make-ready process, Groundskeeper duties, Maintenance. Maintain clean community grounds. Assist in make-ready process", "postedDate" : "2026-06-10T05:30:04.938", "createdAt" : "2026-06-12T05:30:04.870", "lastUpdated" : "2026-06-14T23:38:29.058", "ingestTimestamp" : "2026-06-12T05:30:04.870", "mongoId" : "6a2b5c3874d8ee00a07bba1f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://greystar.wd1.myworkdayjobs.com/External/job/Vue-21-Colorado-Springs-CO/Make-Ready-Specialist--View-21_R0190841", "salaryAnnualMax" : 300, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Mechanical work", "Technical repairs", "Sheetrock repair", "Painting", "Pressure washing", "General cleaning", "Caulking", "Sealing", "Customer service", "Make-ready process", "Groundskeeper duties", "Maintenance", "Property management", "Real estate", "Maintenance documentation", "Rental residential real estate", "Tools", "Equipment" ], "skillCount" : 18, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ec03e74d8ee00a0e9dd80", "title" : "QC Specialist – Raw Material & Packaging Material", "company" : "Takeda", "location" : "Bekasi, Indonesia", "locations" : [ "Bekasi, Indonesia" ], "timestamp" : "2026-06-15T06:47:43.673", "fingerprint" : "ca1a33737a49cf888de175f6f90be1be38392101fd14cce49e029232c17d1d19", "source" : "workday", "applyUrl" : "https://takeda.wd3.myworkdayjobs.com/External/job/Bekasi-Indonesia/QC-Specialist---Raw-Material---Packaging-Material_R0182064-1", "externalId" : "R0182064", "industryFunction" : { }, "locationPoint" : "-6.2349,106.9896", "structuredLocations" : [ { "city" : "Bekasi", "country" : "Indonesia", "continent" : "as", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Bekasi, Indonesia", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate", "experienceMinYears" : 1, "experienceMaxYears" : 2, "experienceLevel" : "Junior", "hardSkillsList" : [ "raw and packaging material testing", "laboratory investigations", "deviations", "EHS rules implementation", "internal audits" ], "softSkillsList" : [ "analytical, communication, interpersonal skills" ], "hardSkills" : [ { "name" : "raw and packaging material testing", "level" : "intermediate" }, { "name" : "laboratory investigations", "level" : "intermediate" }, { "name" : "deviations", "level" : "intermediate" }, { "name" : "EHS rules implementation", "level" : "intermediate" }, { "name" : "internal audits", "level" : "intermediate" } ], "softSkills" : [ { "name" : "analytical, communication, interpersonal skills" } ], "majorSkills" : "raw and packaging material testing, laboratory investigations, analytical, MS Excel", "majorSkillsList" : [ "raw and packaging material testing, laboratory investigations, analytical, MS Excel" ], "coreResponsibilities" : "Schedule incoming material sampling, identification, and testing activities. Verify testing reports to ensure data integrity and compliance with established analytical procedures for raw and packaging material testing. Support activities related to alternating or secondary sources of materials in the QC Laboratory. Support the preparation and availability of registration documents required from the QC Department. Create and revise specifications for packaging materials and raw materials. Support the completion of CAPA and CCR action task. Support the creation and revision of SOPs, conduct periodic reviews of local SOPs, and perform gap assessments against Global SOPs. Manage laboratory operational activities, including Excel spreadsheet control, routine logbook review, periodic backup of QC instruments, and management of reagents and standards. Serve as Lead Investigator for laboratory investigations and deviations. Contribute to the implementation of energy-saving initiatives within the assigned work area. Ensure EHS rules are properly implemented by teams within their respective work areas, in the capacity of EHS Committee Member and Chemical Occupational Health & Safety (OHS) Officer. Participate in internal audits as required.", "toolProficiency" : [ "MS Word, MS Excel, MS PowerPoint" ], "communicationSkills" : "Good English competency", "documentationSkills" : "preparation of registration documents; creation and revision of specifications; creation and revision of SOPs; gap assessments", "problemSolvingSkills" : "CAPA; CCR action task", "qualificationsBasic" : "Associate's degree/ Bachelor of Pharmacist. Min. 1 year in QC Specialist or or in a closely related position. Have necessary laboratory skills. Good English competency (reading, listening and speaking). analytical, communication and interpersonal skills. Proficient in MS Word, Excel and PowerPoint", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s [Privacy Notice](https://jobs.takeda.com/privacynotice) and [Terms of Use](https://www.takeda.com/terms-and-conditions/). I further attest that all information I submit in my employment application is true to the best of my knowledge. ## **Job Description** **Duties & Responsibility** 1\\. Schedule incoming material sampling, identification, and testing activities. 2\\. Verify testing reports to ensure data integrity and compliance with established analytical procedures for raw and packaging material testing. 3\\. Support activities related to alternating or secondary sources of materials in the QC Laboratory. 4\\. Support the preparation and availability of registration documents required from the QC Department. 5\\. Create and revise specifications for packaging materials and raw materials. 6\\. Support the completion of CAPA and CCR action task. 7\\. Support the creation and revision of SOPs, conduct periodic reviews of local SOPs, and perform gap assessments against Global SOPs. 8\\. Manage laboratory operational activities, including Excel spreadsheet control, routine logbook review, periodic backup of QC instruments, and management of reagents and standards. 9\\. Serve as Lead Investigator for laboratory investigations and deviations. 10\\. Contribute to the implementation of energy-saving initiatives within the assigned work area. 11\\. Ensure EHS rules are properly implemented by teams within their respective work areas, in the capacity of EHS Committee Member and Chemical Occupational Health & Safety (OHS) Officer. 12\\. Participate in internal audits as required. **Requirement** • Associate's degree/ Bachelor of Pharmacist • Min. 1 year in QC Specialist or or in a closely related position • Have necessary laboratory skills • Good English competency (reading, listening and speaking) • Strong analytical, communication and interpersonal skills • Proficient in MS Word, Excel and PowerPoint ## **Locations** Bekasi, Indonesia ## **Worker Type** Employee ## **Worker Sub-Type** Fixed Term (Fixed Term) ## **Time Type** Full time", "summaryDescription" : "QC Specialist – Raw Material & Packaging Material at Takeda. Skills: raw and packaging material testing, laboratory investigations, analytical, MS Excel. Schedule incoming material sampling, identification, and testing activities. Verify testing reports to ensure data integrity and compliance with established analytical procedures for raw and packaging material testing. Support activities related to alternating or secondary sources of materials in the QC Laboratory. Support the preparation and a", "postedDate" : "2026-06-12T21:34:45.947", "createdAt" : "2026-06-14T21:34:45.931", "lastUpdated" : "2026-06-15T06:47:43.673", "ingestTimestamp" : "2026-06-14T21:34:45.931", "mongoId" : "6a2ec03e74d8ee00a0e9dd80", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://takeda.wd3.myworkdayjobs.com/External/job/Bekasi-Indonesia/QC-Specialist---Raw-Material---Packaging-Material_R0182064-1", "hasSalary" : false, "allSkills" : [ "raw and packaging material testing", "laboratory investigations", "deviations", "EHS rules implementation", "internal audits", "analytical, communication, interpersonal skills", "raw and packaging material testing, laboratory investigations, analytical, MS Excel", "MS Word, MS Excel, MS PowerPoint" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a683b74d8ee00a06337c9", "title" : "Model Trains Expert", "company" : "Catawiki", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Model Trains Expert in E-Commerce, adjusted for a remote role and company size." }, "location" : "Belgium", "locations" : [ "Belgium", "France", "Germany", "Italy", "Netherlands", "Portugal", "Spain", "United Kingdom" ], "timestamp" : "2026-06-14T20:37:47.742", "fingerprint" : "53d0f3e21f50d29c6826b5170e880c0bf2f0188ab02aaa4c998b4df8b9fedfc2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/catawiki/jobs/7988470", "externalId" : "7988470", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "professionalSkills" : [ "Commercial acumen", "Eye for trade", "Eye for value" ], "majorSkills" : "Model Trains expertise, Valuation, Collector expectations", "majorSkillsList" : [ "Model Trains expertise", "Valuation", "Collector expectations" ], "coreResponsibilities" : "Evaluate model train lots, Arrange model train lots, Create weekly lot selections, Review titles, Review descriptions, Review images, Provide estimated values, Safeguard fair transactions, Communicate rejections professionally, Communicate rejections diplomatically, Maintain seller relationships, Attract new sellers, Diversify lot range, Diversify lot quality, Increase bidder engagement, Increase auction visibility", "teamCollaboration" : "Collaborate with Sales; Partner with Marketing", "domainKnowledge" : "Model Trains brands; Model Trains rarity; Model Trains condition", "domainList" : [ "model-trains-brands", "model-trains-rarity", "model-trains-condition" ], "domainSpecificKnowledge" : [ "Model Trains brands", "Model Trains rarity", "Model Trains condition" ], "communicationSkills" : "Professional communication; Diplomatic communication", "continuousLearning" : "Learning & Development initiatives; Development plans; Mentorship programmes", "qualificationsBasic" : "Expert knowledge in Model Trains, Documented commercial experience, Good computer skills, Confidence working with digital tools, Good command of English", "qualificationsPreferred" : "Network of potential sellers, Network of experts within field", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car, a Woolly Mammoth’s Skeleton, Lady Gaga's Jumpsuit or Usain Bolt’s running shoe, we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your Mission As a Model Trains Expert, your mission is to bring your specialist model trains expertise to the curation of high-quality, compelling auctions that attract engaged collectors and trusted sellers. Your knowledge of brands, rarity, condition, valuation, and collector expectations is central to ensuring each lot is relevant, accurately assessed, and commercially strong. By combining deep category expertise with sound commercial judgement, you play a key role in growing the Model Trains category, maintaining transparency, and strengthening trust within the collector community. What You’ll Do Evaluate and arrange model train lots submitted by users, ensuring each auction features attractive and relevant listings Create compelling weekly lot selections using your expertise and professional network Review titles, descriptions, and images to assess quality and provide accurate estimated values Safeguard transparent and fair transactions through consistent expert evaluation Communicate rejections professionally and diplomatically, maintaining strong seller relationships Collaborate with Sales to attract new sellers and diversify the range and quality of lots Partner with Marketing to increase bidder engagement and visibility for your auctions What You’ll Bring Expert knowledge in Model Trains Strong commercial acumen and documented commercial experience An eye for trade and value within the collectibles market Excellent communication skills, with the ability to act diplomatically in user disputes A network of potential sellers and experts within your field Good computer skills and confidence working with digital tools Good command of English, written and spoken Where You’ll Be This is a 100% remote role that can be based in the Netherlands, Belgium, France, Germany, Italy, Portugal, Spain, or the United Kingdom. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us. We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion”. We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam, Paris and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles.", "summaryDescription" : "Model Trains Expert at Catawiki. Skills: Model Trains expertise, Valuation, Collector expectations. Evaluate model train lots. Arrange model train lots", "postedDate" : "2026-06-11T21:32:20.674", "createdAt" : "2026-06-11T21:32:20.674", "lastUpdated" : "2026-06-14T20:37:47.742", "ingestTimestamp" : "2026-06-11T21:32:20.674", "mongoId" : "6a2a683b74d8ee00a06337c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Model Trains expertise", "Valuation", "Collector expectations", "Commercial acumen", "Eye for trade", "Eye for value", "Model Trains brands", "Model Trains rarity", "Model Trains condition" ], "skillCount" : 9, "jobCategory" : "other", "jobSubcategory" : "experts", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a803e74d8ee00a066cf16", "title" : "Model Risk Specialist", "company" : "Nubank", "industry" : "Financial Services", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Model Risk Specialist in São Paulo, Brazil, adjusted for the FinTech industry and company size." }, "location" : "São Paulo", "locations" : [ "São Paulo" ], "timestamp" : "2026-06-14T21:19:33.724", "fingerprint" : "4be9547c080f18a876b01bf8f3b782f885caf6d0dfa7ac402858c00c70354f3d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nubank/jobs/7988285", "externalId" : "7988285", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "hybrid", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "technicalSkills" : "Spark, Scala, AWS, GCP, Azure, Python, Machine Learning, Generative AI, Agentic AI, LLM", "professionalSkills" : [ "Risk management", "Model validation", "Data governance", "Feature engineering", "MLOps practices", "Model monitoring", "AI quality", "Agent behavior" ], "hardSkillsList" : [ "Data lineage", "Data quality", "Feature governance", "Drift detection", "Pipeline stability", "Performance degradation" ], "hardSkills" : [ { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Feature governance", "level" : "intermediate" }, { "name" : "Drift detection", "level" : "intermediate" }, { "name" : "Pipeline stability", "level" : "intermediate" }, { "name" : "Performance degradation", "level" : "intermediate" } ], "majorSkills" : "Model Risk, AI Risk Management, Data Governance, MLOps", "majorSkillsList" : [ "Model Risk", "AI Risk Management", "Data Governance", "MLOps" ], "coreResponsibilities" : "Review and assess models, Develop tools, Develop playbooks, Develop analyses, Focus on infrastructure risks, Focus on data risks, Assess feature engineering risks, Assess feature stores risks, Assess MLOps pipelines risks, Assess model monitoring risks, Assess deployment platforms risks, Assess data governance practices risks, Identify risks, Assess risks, Report risks", "teamCollaboration" : "Model platform teams; Data platform teams", "domainKnowledge" : "Data Mesh architecture; SR 11-7; SR 26-2; OCC 2011-12; NIST AI RMF", "domainList" : [ "data-mesh-architecture", "sr-11-7", "sr-26-2", "occ-2011-12", "nist-ai-rmf" ], "domainSpecificKnowledge" : [ "Data Mesh architecture", "SR 11-7", "SR 26-2", "OCC 2011-12", "NIST AI RMF" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Learning platform", "qualificationsBasic" : "5+ years experience, SQL proficiency, English communication skills", "qualificationsPreferred" : "Infrastructure experience with Spark/Scala, Experience in 2nd or 3rd line of defense, Prior experience in model risk management, Prior experience in model validation, Data/ML engineering role transitioning into risk, Familiarity with model risk frameworks, Familiarity with regulatory expectations", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Us Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page Careers at Nu - Join our team! About the Role At Nubank we heavily rely on Data, Machine Learning, and increasingly on Generative and Agentic AI to drive our strategy and deliver the best experience and products to our customers. The Model Risk team plays a crucial role in ensuring the risks associated with our models and AI systems are understood and under control. We are now building a dedicated AI Risk Management capability to address the emerging risks of advanced AI — including LLM-powered and autonomous agentic systems — with a focus on AI quality, model and agent behavior, and the platform controls that keep these systems safe and reliable across internal and customer-facing use cases. This is an individual contributor role, you will both review and assess what first-line teams build, and actively develop tools, playbooks, and analyses to mature our risk practices. You will focus on the infrastructure and data risks that surround model development and deployment: feature engineering and feature stores, MLOps pipelines, model monitoring, deployment platforms, and data governance practices. You will work closely with model and data platform teams to identify, assess, and report risks independently, bringing a second-line perspective without losing technical depth. Responsibilities Infrastructure experience with Spark/Scala is a plus. ML infrastructure knowledge: Hands-on familiarity with MLOps practices, CI/CD pipelines for models, feature stores, and cloud-based ML platforms (AWS, GCP, or Azure). Data governance: Understanding of Data Mesh architecture and principles, data lineage, data quality frameworks, and feature governance practices. Model monitoring: Experience with model and data monitoring concepts, including drift detection, pipeline stability, and performance degradation tracking. Good written and verbal communication skills in English Understanding of risk management principles, control design, and governance frameworks (e. g. ERM, COSO); experience in a 2nd or 3rd line of defense is a strong plus. Prior experience in model risk management, model validation, or a data/ML engineering role transitioning into risk (nice to have) Familiarity with model risk frameworks and regulatory expectations (e.g., SR 11-7 / SR 26-2 / OCC 2011-12, NIST AI RMF)-(nice to have) Location & Work Model Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. This position is based in Sao Paulo, Brazil. Benefits Chance of earning equity at Nubank Food/ Meal Card (Vale-Refeição and/or Vale Alimentação) Public Transportation Commuting Benefit (Vale-Transporte) NuCare – Psychological, Financial and Legal Assistance Program Life Insurance Medical Plan Dental Plan NuLanguage – Language Course Program Nucleo - Our learning platform of courses Extended Parental Leave Daycare Allowance Parental Consultancy Work-from-home Allowance Gym Partnerships 30 days of paid vacation Relocation Assistance Package, if applicable", "summaryDescription" : "Model Risk Specialist at Nubank. Skills: Model Risk, AI Risk Management, Data Governance, MLOps. Review and assess models. Develop tools", "postedDate" : "2026-06-11T19:01:52.243", "createdAt" : "2026-06-11T19:01:52.243", "lastUpdated" : "2026-06-14T21:19:33.724", "ingestTimestamp" : "2026-06-11T19:01:52.243", "mongoId" : "6a2a803e74d8ee00a066cf16", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data lineage", "Data quality", "Feature governance", "Drift detection", "Pipeline stability", "Performance degradation", "Model Risk", "AI Risk Management", "Data Governance", "MLOps", "Risk management", "Model validation", "Data governance", "Feature engineering", "MLOps practices", "Model monitoring", "AI quality", "Agent behavior", "Data Mesh architecture", "SR 11-7", "SR 26-2", "OCC 2011-12", "NIST AI RMF" ], "skillCount" : 23, "jobCategory" : "other", "jobSubcategory" : "risk-management", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a0de91258b93c861eb99075", "title" : "Seasonal Registered Nurse - Telemetry", "company" : "InterHealth Staffing", "industry" : "Healthcare", "salary" : { "min" : 62000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for a Mid-level Registered Nurse in Brooksville, United States, with adjustments for the healthcare industry and temporary employment type." }, "location" : "United States-Florida-Brooksville", "locations" : [ "United States-Florida-Brooksville", "
TGH Brooksville (TGHBRKSV)
17240 Cortez Boulevard

Brooksville, 34601

" ], "certifications" : [ "BLS", "ACLS" ], "timestamp" : "2026-06-15T10:28:35.616", "fingerprint" : "396891f3d8031c21de7a7cec4678057825c33d91d2e525b25a40838b10709d07", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-tgh.taleo.net/careersection/ex/jobdetail.ftl?job=679054", "externalId" : "679054", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brooksville", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.5552719,-82.3878709" }, { "city" : "Spring Hill", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.4635266,-82.5363557" } ], "locationText" : "Brooksville, Florida, United States; Spring Hill, Florida, United States", "employmentType" : "TEMPORARY", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Patient care delivery", "Nursing process" ], "hardSkillsList" : [ "Telemetry monitoring" ], "hardSkills" : [ { "name" : "Telemetry monitoring", "level" : "intermediate" } ], "majorSkills" : "Patient care, Telemetry monitoring", "majorSkillsList" : [ "Patient care", "Telemetry monitoring" ], "coreResponsibilities" : "Deliver patient care, Assess patient needs, Diagnose patient conditions, Plan patient care, Implement patient care, Evaluate patient outcomes, Direct nursing care, Coordinate nursing care, Collaborate with disciplines", "teamCollaboration" : "Other professional disciplines", "domainKnowledge" : "Clinical nursing practices", "domainList" : [ "clinical-nursing-practices" ], "domainSpecificKnowledge" : [ "Clinical nursing practices" ], "documentationSkills" : "Clinical documentation", "specialRequirements" : "Work 3 shifts per week, Work every other weekend, Float to other units", "outcomesObjectives" : "Achieve desired patient outcomes", "qualificationsBasic" : "Two years of related work experience, Current BLS certification, Current ACLS certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "InterHealth Staffing is a for-profit staffing division of TGH committed to providing patients with excellent and compassionate care. Positions range from permanent clinical float roles (Full time or Part Time) to Seasonal 13-week assignments with significantly higher base pay. As the region’s leading safety net hospital, Tampa General is committed to providing area residents with world-class and compassionate health care ranging from the simplest to the most complex medical services. Responsible for the delivery of patient care through the nursing process of assessment, diagnosis, planning, implementation and evaluation. Responsible for directing, coordinating all nursing care based on established clinical nursing practices. Collaborates with other professional disciplines to ensure effective and efficient patient care delivery and the achievement of desired patient outcomes.             Must have a minimum of two years of related work experience. Must have and maintain current BLS and ACLS certification from the American Heart Association or the American Red Cross. Must be able to work on any unit within the assigned division. Must work 3 shifts per week* Must work every other weekend* Will be required to float to other units at both campuses as needed. (Brooksville & Spring Hill) Brooksville", "summaryDescription" : "Seasonal Registered Nurse - Telemetry at InterHealth Staffing. Skills: Patient care, Telemetry monitoring. Deliver patient care. Assess patient needs", "createdAt" : "2026-06-14T06:13:07.039", "lastUpdated" : "2026-06-15T10:28:35.616", "ingestTimestamp" : "2026-06-14T06:13:07.039", "mongoId" : "6a0de91258b93c861eb99075", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 62000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Telemetry monitoring", "Patient care", "Patient care delivery", "Nursing process", "Clinical nursing practices", "BLS", "ACLS" ], "skillCount" : 7, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2b0ce974d8ee00a075f6bf", "title" : "Telemetry Technician", "company" : "Telemetry Technician", "industry" : "Healthcare", "salary" : { "min" : 19.31, "max" : 28.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "NCH 800 W Central Rd Arlington Heights", "locations" : [ "NCH 800 W Central Rd Arlington Heights", "United States of America" ], "certifications" : [ "Basic ECG interpretation course" ], "timestamp" : "2026-06-15T00:06:25.251", "fingerprint" : "b67fbc6615b52c5e134f667c02eff502dee94d98cf50f29ca826d027f2d463c0", "source" : "workday", "language" : "en", "applyUrl" : "https://nshs.wd1.myworkdayjobs.com/ns-eeh/job/NCH-800-W-Central-Rd-Arlington-Heights/Telemetry-Technician---Central-Telemetry-Department---Per-Diem-Level-1---Evenings_R43591", "externalId" : "R43591", "industryFunction" : { }, "locationPoint" : "40.99009,-75.21629", "structuredLocations" : [ { "city" : "Arlington Heights", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.0811563,-87.9802164" } ], "locationText" : "Arlington Heights, Illinois, United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "technicalSkills" : "ECG interpretation", "professionalSkills" : [ "Cardiac rhythm analysis", "Medical terminology", "Patient monitoring" ], "hardSkillsList" : [ "ECG interpretation", "Arrhythmia recognition" ], "hardSkills" : [ { "name" : "ECG interpretation", "level" : "intermediate" }, { "name" : "Arrhythmia recognition", "level" : "intermediate" } ], "majorSkills" : "Cardiac monitoring, ECG interpretation", "majorSkillsList" : [ "Cardiac monitoring", "ECG interpretation" ], "coreResponsibilities" : "Monitor and analyze cardiac rate and rhythm, Interpret ECG, Document ECG measurements, Create Medical Record document, Prepare rhythm strips for RN approval, Communicate basic ECG rhythm, Notify healthcare team of dysrhythmias, Monitor patients with OSA, Update telemetry history, Identify rhythms, Review patient information history, Analyze ST segment changes, Alert caregivers to events, Initiate telemetry monitoring, Discontinue telemetry monitoring, Assess appropriateness of monitoring, Serve as preceptor/resource, Orient orientees/students, Identify areas for improvement, Participate in audits, Inventory telemetry equipment, Assist with restocking, Relay need for supplies, Enter daily telemetry charges", "teamCollaboration" : "Healthcare team communication", "domainKnowledge" : "Cardiac rhythm; Dysrhythmias; Obstructive Sleep Apnea", "domainList" : [ "cardiac-rhythm", "dysrhythmias", "obstructive-sleep-apnea" ], "domainSpecificKnowledge" : [ "Cardiac rhythm", "Dysrhythmias", "Obstructive Sleep Apnea" ], "toolProficiency" : [ "SP02 monitors", "Computerized documentation" ], "communicationSkills" : "Communicate patient rhythm", "documentationSkills" : "Medical Record documentation", "continuousLearning" : "Career Pathways; Tuition Reimbursement", "innovationCreativity" : "Identify areas in need of improvement", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "48 hours every 6 weeks, 24 weekend hours if needed, Evenings shift, 3:00pm -11:30pm", "qualificationsBasic" : "Completion of basic ECG interpretation course, Arrhythmia recognition skills required, Demonstrated knowledge of medical terminology, Organizational skills to monitor multiple patients, Ability to prioritize and complete work", "qualificationsPreferred" : "Studies in Applied Science Cardiology, Completion of paramedic program", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Hourly Pay Range:** $19.31 - $28.00 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors. **Position Highlights:** * Position: Telemetry Technician - Central Telemetry Department * Location: Arlington Heights, IL (main Hospital) * Per Diem level 1 - Must be able to work at least 48 hours every 6 weeks and 24 of those hours must be on weekend time if needed. * Hours: 3:00pm -11:30pm * Required Travel: No **What you will do:** * Continually monitors and analyzes patients’ cardiac rate and rhythm, with accurate interpretation of ECG (electrocardiographic). * Documents ECG measurements, (PR, QRS intervals), rates and rhythms on computerized documentation and creates the Medical Record document. * Prepares rhythm strips for rhythm competent RN to approve. Upon approval, rhythm strips will be available in EMR for provider to visualize. * Communicates to healthcare team the patient’s basic ECG rhythm, immediately notifies the healthcare team of life-threatening dysrhythmias * Monitors patients with Obstructive Sleep Apnea (OSA), by using the SP02 monitors, as ordered by provider. * Updates each patient’s telemetry history, to enhance the capabilities of our monitoring equipment which then can accurately identify rhythms. Reviews the history of patient information at intervals, analyzes ST segment changes and alerts caregivers to significant events. * Initiates and discontinues patients telemetry monitoring. Assesses appropriateness of monitoring by evaluating stability of rhythm, duration of monitoring and knowledge of patient condition per healthcare team. * Serves as preceptor/ resource to orientees’ or students learning interpretation of dysrhythmias and function of monitoring equipment. * Assumes responsibility for identifying areas in need of improvement including work processes and monitoring equipment. Participates in audits regarding emergency notification procedure for telemetry. Inventories telemetry equipment daily, assists with restocking, and relays the need for additional supplies. Enters daily telemetry charges. **What you will need:** * The level of knowledge normally obtained through the completion of four years of high school. Participation in the studies of the field of Applied Science Cardiology or completion of paramedic program preferred. * Completion of basic ECG interpretation course, with strong arrhythmia recognition skills required. * Demonstrated knowledge of medical terminology. * The organizational skills necessary to simultaneously monitor the heart rate and rhythm of multiple patients and the ability to prioritize and complete required work during the shift schedules. **Benefits (For full time or part time positions):** * Premium pay such as shift, on call, holiday and more based on an employee’s job (For eligible positions) * Incentive pay for select positions * Opportunity for annual increases based on performance * Career Pathways to Promote Professional Growth and Development * Various Medical, Dental, Pet and Vision options * Tuition Reimbursement * Free Parking * Wellness Program Savings Plan * Health Savings Account Options * Retirement Options with Company Match * Paid Time Off and Holiday Pay * Community Involvement Opportunities Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals – Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) – all recognized as Magnet hospitals for nursing excellence. For more information, visit [www.endeavorhealth.org](http://www.endeavorhealth.org). When you work for Endeavor Health, you will be part of an organization that encourages its employees to achieve career goals and maximize their professional potential. Please explore our website ([www.endeavorhealth.org](http://www.endeavorhealth.org)) to better understand how Endeavor Health delivers on its mission to “help everyone in our communities be their best”. Endeavor Health is committed to working with and providing reasonable accommodation to individuals with disabilities. Please refer to the main career page for more information. At Endeavor Health, we are united by a shared commitment to working together to create a culture of connection and belonging—each of us bringing different skills and experiences as we deliver safe, seamless, and personal care. Every person, every time. We are committed to fostering an environment where all team members can be their best, learn, and pursue excellence together. EOE: Race/Color/Sex/Sexual Orientation/ Gender Identity/Religion/National Origin/Disability/Vets, VEVRRA Federal Contractor.", "summaryDescription" : "Telemetry Technician at Telemetry Technician. Skills: Cardiac monitoring, ECG interpretation. Monitor and analyze cardiac rate and rhythm. Interpret ECG", "postedDate" : "2026-06-10T05:29:02.682", "createdAt" : "2026-06-12T05:29:02.639", "lastUpdated" : "2026-06-15T00:06:25.251", "ingestTimestamp" : "2026-06-12T05:29:02.639", "mongoId" : "6a2b0ce974d8ee00a075f6bf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://nshs.wd1.myworkdayjobs.com/ns-eeh/job/NCH-800-W-Central-Rd-Arlington-Heights/Telemetry-Technician---Central-Telemetry-Department---Per-Diem-Level-1---Evenings_R43591", "salaryAnnualMin" : 40164, "salaryAnnualMax" : 58240, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "ECG interpretation", "Arrhythmia recognition", "Cardiac monitoring", "Cardiac rhythm analysis", "Medical terminology", "Patient monitoring", "Cardiac rhythm", "Dysrhythmias", "Obstructive Sleep Apnea", "Basic ECG interpretation course", "SP02 monitors", "Computerized documentation" ], "skillCount" : 12, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "693c2b9170f0b99d5844011f", "title" : "Applied Scientist, Model Customization", "company" : "Amazon Web Services, Inc.", "industry" : "Machine Learning Science, Applied Science, Cloud Computing", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T00:01:28.425", "fingerprint" : "e349d8d3df0746bdb9168b51de01e7de4be8baadd861ee5e5dac9521a710ccea", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137793/apply", "externalId" : "88d1fd22-664c-438b-ab7a-abaa7e8440a1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, Machine Learning, Large Language Model", "professionalSkills" : [ "Model Customization", "Generative AI", "Optimization" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Distributed computing", "High-performance computing", "Model selection", "Model training", "Model tuning", "Model distillation", "Hardware optimization" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Parsing", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" }, { "name" : "Model selection", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model tuning", "level" : "intermediate" }, { "name" : "Model distillation", "level" : "intermediate" }, { "name" : "Hardware optimization", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Model Customization, Machine Learning", "majorSkillsList" : [ "Generative AI", "Model Customization", "Machine Learning" ], "coreResponsibilities" : "Collaborate with AI/ML scientists and architects, Research generative AI solutions, Design generative AI solutions, Develop generative AI solutions, Evaluate generative AI solutions, Interact with customers directly, Understand customer business problems, Aid customers in implementation of generative AI solutions, Brief customers on adoption patterns, Guide customers on paths to production, Help customers optimize their solutions, Provide customer and market feedback", "teamCollaboration" : "AI/ML scientists; Architects; Customers; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Machine Learning; Model Optimization", "domainList" : [ "generative-ai", "machine-learning", "model-optimization" ], "domainSpecificKnowledge" : [ "Generative AI", "Machine Learning", "Model Optimization" ], "communicationSkills" : "Customer presentations", "innovationCreativity" : "Innovate; Research new algorithms; Find new ways of optimizing", "problemSolvingSkills" : "Solve real world problems; Optimize risk; Optimize profitability; Optimize customer experience", "outcomesObjectives" : "Realize transformational business opportunities; Create greatest value for businesses; Launch solutions at scale", "qualificationsBasic" : "3+ years of building models, Master's degree and 4+ years of CS, CE, ML or related field experience, Experience in patents or publications, Experience programming in Java, C++, Python or related language, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience using Unix/Linux, Experience in professional software development, Experience with Machine Learning and Large Language Model fundamentals, Experience in architecture, training/inference lifecycles, Experience in optimization of model execution, Experience in development in the last 3 years", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization • Provide customer and market feedback to product and engineering teams to help define product direction Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in development in the last 3 years Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Model Customization at Amazon Web Services, Inc.. Skills: Generative AI, Model Customization, Machine Learning. Collaborate with AI/ML scientists and architects. Research generative AI solutions", "postedDate" : "2026-06-13T00:47:18.294", "createdAt" : "2026-06-13T00:47:18.294", "lastUpdated" : "2026-06-15T00:01:28.425", "ingestTimestamp" : "2026-06-13T00:47:18.294", "mongoId" : "693c2b9170f0b99d5844011f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137793/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Distributed computing", "High-performance computing", "Model selection", "Model training", "Model tuning", "Model distillation", "Hardware optimization", "Generative AI", "Model Customization", "Machine Learning", "Optimization", "Model Optimization" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf26122beec4dd3d90b4f0", "title" : "Clinical Nurse - Cardiac Telemetry", "company" : "Tampa General Hospital", "location" : "United States-Florida-Spring Hill", "locations" : [ "United States-Florida-Spring Hill", "
TGH Spring Hill (TGHSPRGHLL)
10461 Quality Drive

Spring Hill, 34609

" ], "certifications" : [ "Registered Nurse License", "Basic Life Support (BLS)", "Advanced Cardiovascular Life Support (ACLS)", "Pediatric Advance Life Support (PALS)", "National Institutes of Health Stroke Scale (NIHSS)", "STABLE" ], "timestamp" : "2026-06-15T10:07:32.778", "fingerprint" : "bc6337f6e3c22c8c614e0e30c8e75b67c63b5d2c9ee2202faf8d4758f3b7150f", "source" : "taleo", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=674390", "externalId" : "674390", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Spring Hill", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Spring Hill, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate", "experienceLevel" : "null", "technicalSkills" : "Cardiac Telemetry", "professionalSkills" : [ "null" ], "hardSkillsList" : [ "nursing care", "patient assessment", "discharge planning", "patient education", "transcribe physician orders" ], "softSkillsList" : [ "quality improvement" ], "hardSkills" : [ { "name" : "nursing care", "level" : "intermediate" }, { "name" : "patient assessment", "level" : "intermediate" }, { "name" : "discharge planning", "level" : "intermediate" }, { "name" : "patient education", "level" : "intermediate" }, { "name" : "transcribe physician orders", "level" : "intermediate" } ], "softSkills" : [ { "name" : "quality improvement" } ], "majorSkills" : "patient assessment, nursing care, discharge planning, patient education", "majorSkillsList" : [ "patient assessment, nursing care, discharge planning, patient education" ], "coreResponsibilities" : "Delivers nursing care to patients, plans and implements nursing care, documents nursing care, identifies and reports situations requiring further attention, formulates and communicates a goal-directed plan of care, and assures patient rights. Assesses and analyzes patient health status, performs and documents ongoing assessments, initiates discharge planning, plans patient care in collaboration with patient/family/healthcare team, formulates individualized patient plan of care, updates plan of care, directs and coordinates patient care activities, communicates the plan of care, directs care team members, communicates and documents all patient care, transcribes and implements physician orders, provides patient education, and evaluates patient outcomes.", "teamCollaboration" : "Collaborates with the patient, family, and health care team in planning patient care. Communicates the plan of care to other members of the healthcare team through daily worksheet conferences, verbally during the shift, and shift report. Directs care team members in accordance with their scope of practice.", "projectManagementSkills" : [ "null" ], "toolProficiency" : [ "null" ], "communicationSkills" : "communicate goal-directed plan; communicate plan of care; communicate and document patient care", "documentationSkills" : "nursing documents; documents nursing; documents all patient care", "continuousLearning" : "null", "innovationCreativity" : "null", "problemSolvingSkills" : "null", "specialRequirements" : "Demonstrates knowledge and awareness of the specific physical, psychosocial and developmental needs of patients as appropriate to the populations served.", "outcomesObjectives" : "Conducts ongoing evaluation of patient outcomes and documents effectiveness of planned and implemented interventions and strategies in relation to the plan of care within time frames per policy/unit standards. Includes patient and family in the evaluation process.", "qualificationsBasic" : "Associate's Degree in Nursing. Registered Nurse License issued by Florida or Compact State. Basic Life Support (BLS) through American Heart Association or American Red Cross.", "qualificationsPreferred" : "Unit specific certifications may be required. May include but not limited to: Advanced Cardiovascular Life Support (ACLS), Pediatric Advance Life Support (PALS), STROKE National Institutes of Health Stroke Scale (NIHSS), STABLE.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, following established policies, procedures, and professional guidelines, delivers nursing care to patients. Plans and implements nursing care; documents nursing assessments; identifies and reports situations requiring further intervention; formulates and communicates goal-directed plan of care; assures patient rights. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital and principles of quality improvement. Essential Functions Assesses and analyzes the health status of patients in assigned nursing unit in a comprehensive manner. Performs and/or assures completed assessments on all patients admitted within the designated time delineated in policy/unit standards. Performs on-going assessments and documents according to policy and procedure, reports significant findings of admission and on-going assessments to appropriate member of heath care team. Initiates discharge planning process with initial admission assessment. Plans patient care on assigned unit in collaboration with the patient, family, and health care team. Formulates individualized patient plan of care based on assessment data within the designated time delineated in policy/unit standards. Updates plan of care based on the patient assessment within appropriate time period. Directs, implements and coordinates patient care activities on assigned unit to ensure the delivery of quality care. Communicates the plan of care to other members of the healthcare team through daily worksheet conferences, verbally during the shift and shift report. Directs care team members in accordance with their scope of practice. Communicates and documents all patient care given including assessments, plan of care, interventions, patient response, and follow up. Transcribes and directs the implementation of physician orders. Provides patient education based on assessed needs and evaluates understanding. Conducts ongoing evaluation of patient outcomes and documents effectiveness of planned and implemented interventions and strategies in relation to the plan of care within time frames per policy/unit standards. Includes patient and family in the evaluation process. Provides appropriate patient assessment and care specific to the needs of the patient populations served (e.g. age groups, patients of size; diagnosis-based). Demonstrates knowledge and awareness of the specific physical, psychosocial and developmental needs of patients as appropriate to the populations served. Education Associate's Degree Nursing License/Registration- Issued by Florida or Compact State Registered Nurse License Certification Basic Life Support (BLS) through American Heart Association or American Red Cross Work Experience and Additional Information Unit specific certifications may be required. May include but not limited to: Advanced Cardiovascular Life Support (ACLS) Pediatric Advance Life Support (PALS) STROKE National Institutes of Health Stroke Scale (NIHSS) STABLE Spring Hill", "summaryDescription" : "Clinical Nurse - Cardiac Telemetry at Tampa General Hospital. Skills: patient assessment, nursing care, discharge planning, patient education. Delivers nursing care to patients, plans and implements nursing care, documents nursing care, identifies and reports situations requiring further attention, formulates and communicates a goal-directed plan of care, and assures patient rights. Assesses and analyzes patient health status, performs and documents ongoing assessments, initiates discharge plann", "createdAt" : "2026-06-14T21:52:14.500", "lastUpdated" : "2026-06-15T10:07:32.778", "ingestTimestamp" : "2026-06-14T21:52:14.500", "mongoId" : "69cf26122beec4dd3d90b4f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "nursing care", "patient assessment", "discharge planning", "patient education", "transcribe physician orders", "quality improvement", "patient assessment, nursing care, discharge planning, patient education", "null", "Registered Nurse License", "Basic Life Support (BLS)", "Advanced Cardiovascular Life Support (ACLS)", "Pediatric Advance Life Support (PALS)", "National Institutes of Health Stroke Scale (NIHSS)", "STABLE" ], "skillCount" : 14, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a0de91358b93c861eb990a6", "title" : "Clinical Nurse - Cardiac Telemetry", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Clinical Nurse - Cardiac Telemetry in Spring Hill, United States, adjusted for the healthcare industry and hospital size." }, "location" : "United States-Florida-Spring Hill", "locations" : [ "United States-Florida-Spring Hill", "
TGH Spring Hill (TGHSPRGHLL)
10461 Quality Drive

Spring Hill, 34609

" ], "certifications" : [ "Registered Nurse License", "Basic Life Support (BLS)", "Advanced Cardiovascular Life Support (ACLS)", "Pediatric Advance Life Support (PALS)", "STABLE", "NIHSS" ], "timestamp" : "2026-06-15T09:32:08.648", "fingerprint" : "9bd4563968951ea83c04339cacd2556685b689050a189b5a0aba831e64a9397d", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-tgh.taleo.net/careersection/ex/jobdetail.ftl?job=678335", "externalId" : "678335", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Spring Hill", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.4635266,-82.5363557" } ], "locationText" : "Spring Hill, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "professionalSkills" : [ "Nursing care", "Patient assessment", "Discharge planning", "Patient education", "Care coordination" ], "hardSkillsList" : [ "Telemetry monitoring", "Cardiac assessment" ], "hardSkills" : [ { "name" : "Telemetry monitoring", "level" : "intermediate" }, { "name" : "Cardiac assessment", "level" : "intermediate" } ], "majorSkills" : "Cardiac Telemetry, Patient Care, Nursing", "majorSkillsList" : [ "Cardiac Telemetry", "Patient Care", "Nursing" ], "coreResponsibilities" : "Deliver nursing care, Plan nursing care, Implement nursing care, Document nursing care, Identify situations requiring further action, Report situations requiring further action, Formulate plan of care, Communicate plan of care, Assure patient rights, Analyze health status, Perform assessments, Document assessments, Report assessment findings, Initiate discharge planning, Update plan of care, Direct patient care activities, Coordinate patient care activities, Communicate patient care given, Document patient care given, Transcribe physician orders, Implement physician orders, Provide patient education, Evaluate patient understanding, Evaluate patient outcomes, Document intervention effectiveness, Include patient in evaluation, Include family in evaluation, Provide patient assessment, Provide patient care specific to needs, Demonstrate knowledge of patient needs", "teamCollaboration" : "Health care team; Healthcare team members", "domainKnowledge" : "Cardiac Telemetry; Patient populations; Age groups; Diagnosis-based care", "domainList" : [ "cardiac-telemetry", "patient-populations", "age-groups", "diagnosis-based-care" ], "domainSpecificKnowledge" : [ "Cardiac Telemetry", "Patient populations", "Age groups", "Diagnosis-based care" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Nursing documentation; Patient charting", "outcomesObjectives" : "Quality improvement", "qualificationsBasic" : "Registered Nurse License, Basic Life Support (BLS)", "qualificationsPreferred" : "Advanced Cardiovascular Life Support (ACLS), Pediatric Advance Life Support (PALS), STABLE, NIHSS", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, following established policies, procedures, and professional guidelines, delivers nursing care to patients. Plans and implements nursing care; documents nursing assessments; identifies and reports situations requiring further intervention; formulates and communicates goal-directed plan of care; assures patient rights. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital and principles of quality improvement. Essential Functions Assesses and analyzes the health status of patients in assigned nursing unit in a comprehensive manner. Performs and/or assures completed assessments on all patients admitted within the designated time delineated in policy/unit standards. Performs on-going assessments and documents according to policy and procedure, reports significant findings of admission and on-going assessments to appropriate member of heath care team. Initiates discharge planning process with initial admission assessment. Plans patient care on assigned unit in collaboration with the patient, family, and health care team. Formulates individualized patient plan of care based on assessment data within the designated time delineated in policy/unit standards. Updates plan of care based on the patient assessment within appropriate time period. Directs, implements and coordinates patient care activities on assigned unit to ensure the delivery of quality care. Communicates the plan of care to other members of the healthcare team through daily worksheet conferences, verbally during the shift and shift report. Directs care team members in accordance with their scope of practice. Communicates and documents all patient care given including assessments, plan of care, interventions, patient response, and follow up. Transcribes and directs the implementation of physician orders. Provides patient education based on assessed needs and evaluates understanding. Conducts ongoing evaluation of patient outcomes and documents effectiveness of planned and implemented interventions and strategies in relation to the plan of care within time frames per policy/unit standards. Includes patient and family in the evaluation process. Provides appropriate patient assessment and care specific to the needs of the patient populations served (e.g. age groups, patients of size; diagnosis-based). Demonstrates knowledge and awareness of the specific physical, psychosocial and developmental needs of patients as appropriate to the populations served. Education Associate's Degree Nursing License/Registration- Issued by Florida or Compact State Registered Nurse License Certification Basic Life Support (BLS) through American Heart Association or American Red Cross Work Experience and Additional Information Unit specific certifications may be required. May include but not limited to: Advanced Cardiovascular Life Support (ACLS) Pediatric Advance Life Support (PALS) STROKE National Institutes of Health Stroke Scale (NIHSS) STABLE Spring Hill", "summaryDescription" : "Clinical Nurse - Cardiac Telemetry at Tampa General Hospital. Skills: Cardiac Telemetry, Patient Care, Nursing. Deliver nursing care. Plan nursing care", "createdAt" : "2026-06-14T01:18:22.823", "lastUpdated" : "2026-06-15T09:32:08.648", "ingestTimestamp" : "2026-06-14T01:18:22.823", "mongoId" : "6a0de91358b93c861eb990a6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Telemetry monitoring", "Cardiac assessment", "Cardiac Telemetry", "Patient Care", "Nursing", "Nursing care", "Patient assessment", "Discharge planning", "Patient education", "Care coordination", "Patient populations", "Age groups", "Diagnosis-based care", "Registered Nurse License", "Basic Life Support (BLS)", "Advanced Cardiovascular Life Support (ACLS)", "Pediatric Advance Life Support (PALS)", "STABLE", "NIHSS" ], "skillCount" : 19, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2aee7e74d8ee00a0731d7e", "title" : "Raw Materials Associate", "company" : "Beyond Yoga", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-14T14:28:38.610", "fingerprint" : "c140256a9aeda79bae19e7c491d7de23b736bfd42b2ce9fdcc07d03c3d7f1a8f", "source" : "workday", "language" : "en", "applyUrl" : "https://levistraussandco.wd5.myworkdayjobs.com/External/job/USA-Culver-City-Beyond-Yoga-HQ/Raw-Materials-Associate--Beyond-Yoga_R-0152753", "externalId" : "R-0152753", "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "city" : "Culver City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "34.0211224,-118.3964660" } ], "locationText" : "Culver City, California, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Fabric development", "Trim development", "Color development", "Material planning", "Purchasing support" ], "hardSkillsList" : [ "Textile construction", "Garment components" ], "hardSkills" : [ { "name" : "Textile construction", "level" : "intermediate" }, { "name" : "Garment components", "level" : "intermediate" } ], "majorSkills" : "Raw materials, Fabric development, Trim development", "majorSkillsList" : [ "Raw materials", "Fabric development", "Trim development" ], "coreResponsibilities" : "Support development of fabrics, Support development of trims, Partner with suppliers, Request developments, Request pricing, Request lead times, Track submissions, Ensure materials meet timeline, Ensure materials meet quality, Ensure materials meet cost expectations, Partner with Color team, Support seasonal color development, Manage lab dips, Manage color submissions, Ensure prompt review, Ensure prompt approvals, Maintain accurate records, Communicate with mills, Communicate with trim vendors, Track development progress, Track submissions, Follow up on outstanding items, Support troubleshooting of development issues, Support troubleshooting of quality issues, Maintain organized material information, Order seasonal sample yardage, Track seasonal sample yardage, Monitor delivery timelines, Escalate potential delays, Maintain accurate material data, Support organization of libraries, Maintain fabric libraries, Maintain trim libraries, Maintain color libraries, Ensure submissions are tracked, Ensure submissions are accessible, Archive seasonal organization, Archive materials", "teamCollaboration" : "Raw Materials team; Color team; Design team; Product Development team; Production team; Internal partners; External partners", "domainKnowledge" : "Textiles; Fabric development; Trim development; Apparel production; Color standards", "domainList" : [ "textiles", "fabric-development", "trim-development", "apparel-production", "color-standards" ], "domainSpecificKnowledge" : [ "Textiles", "Fabric development", "Trim development", "Apparel production", "Color standards" ], "toolProficiency" : [ "Excel", "PLM systems" ], "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "2+ years experience in textiles, 2+ years experience in raw materials, 2+ years experience in product development, 2+ years experience in apparel production, Experience with Excel, Experience with PLM systems", "qualificationsPreferred" : "Exposure to fabric development, Exposure to trim development, Experience with textile construction, Experience with trims, Experience with garment components", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "## Culver City, CA Headquartered in Los Angeles, Beyond Yoga is a premium active lifestyle brand, female-founded, LA born and bred. Founded in 2005 and grounded in the value of body positivity, Beyond Yoga creates clothing from luxuriously soft, easy to care for fabrics in styles that serve a broad range of workouts and activities. The brand has over 1,218 wholesale accounts across U.S. and international markets and continues to strengthen its market presence through an expanding brick-and-mortar footprint nationwide. Its strong fan base is fueled by enthusiasts of its signature Spacedye fabric and lifestyle essentials including outerwear, lifestyle pants, fleece and beyond. Beyond Yoga seeks to inspire growth in mind, body and in connection with community. In September 2021, we joined Levi Strauss & Co., one of the world's largest brand-name apparel companies and a global leader in jeanswear. Beyond Yoga benefits from our relationship with LS&Co.'s global capabilities. For more information, go to beyondyoga.com. You will partner with the Raw Materials, Color, Design, Product Development, and Production teams to ensure it develops, approves, and delivers all materials on time and to brand standards. We are looking for a professional with foundational experience in textiles or product development who is organized and eager to grow technical expertise across fabric and trim. # **About the Job** Fabric & Trim Development Coordination * **Reports to:** Senior Director, Raw Materials * Support development of fabrics and trims from concept through bulk approval * Partner with suppliers to request developments, pricing, and lead times * Track submissions across fabrics and trims, including: * Lab dips * Strike-offs * Bulk submissions * Help ensure materials meet timeline, quality, and cost expectations Color Development * Partner with the Color team to support seasonal color development across fabrics and trims * Manage lab dips and color submissions, ensuring prompt review and approvals * Maintain accurate records of color standards, approvals, and comments in PLM * Flag risks related to color approvals or timing Supplier Coordination & Timeline Tracking * Communicate with mills and trim vendors to track development progress and submissions * Follow up on outstanding items to maintain seasonal timelines * Support troubleshooting of development or quality issues with teams * Maintain organized material information on tracking documents (lead times, MOQs, capabilities) Raw Material Planning & Purchasing Support * Help order and track seasonal sample yardage * Monitor delivery timelines and escalate potential delays Systems & Data Management * Maintain accurate material data in PLM systems, including: * Fabric and trim specifications * Color approvals * Supplier and pricing information * Help improve data integrity and organization across systems and internal tools Material, Trim & Color Libraries * Support organization and maintenance of physical and digital fabric, trim, and color libraries * Ensure submissions (lab dips, bulk, strike-offs) are tracked and accessible * Help archive and seasonal organization of materials ## ## # **About You** * 2+ years of experience in textiles, raw materials, product development, or apparel production * Exposure to fabric or trim development * Experience with textile construction, trims, and garment components * Experience with Excel (can maintain complex spreadsheets) and PLM systems * Ablity to work both with internal and external partners * Bachelor's degree or equivalent experience Core Traits for Success * Curious and motivated to build technical expertise across materials * Comfortable managing multiple parallel workflows * Collaborative and team-focused * Connect development details to broader product timelines This is a hybrid position based in our Culver City, CA headquarters. We expect you in office 3 days per week, typically Tuesday-Thursday. Note, time in office can vary depending on needs. _The expected starting salary range for this role is $60,000 - $85,000 per year**.**_ _We may pay more or less than the posted range based on the location of the role. We will base the amount a employee will earn within the salary range on factors such as relevant education, qualifications, performance and needs._ Levi Strauss & Co. (LS&Co.) offers a total rewards package that includes base pay, incentive plans, 401(k) matching, paid leave, health insurance, product discounts, and more designed to help you and your family stay healthy, meet your financial goals, and balance the demands of your work and personal life. Available benefits and incentive compensation vary depending upon the specifics of the role; details relating to a specific role will be made available upon request. Read more about our benefits [here](https://www.levistrauss.com/work-with-us-old/life-at-lsco/benefits/). LS&Co. is an affirmative action and equal employment opportunity employer. We welcome and value people from diverse cultures, backgrounds, and experiences to make LS&Co. a collective success. #LI-Hybrid ## **EOE M/F/Disability/Vets** ## ## **LOCATION** USA, Culver City, Beyond Yoga HQ ## ## **FULL TIME/PART TIME** Full time **FILL DATE** This position is expected to be filled by 09/02/2026. ## **_[Current LS &Co Employees, apply via your Workday account.](http://wd5.myworkday.com/levistraussandco/d/task/1422$6600.htmld)_**", "summaryDescription" : "Raw Materials Associate at Beyond Yoga. Skills: Raw materials, Fabric development, Trim development. Support development of fabrics. Support development of trims", "postedDate" : "2026-06-09T02:35:51.694", "createdAt" : "2026-06-12T02:35:51.640", "lastUpdated" : "2026-06-14T14:28:38.610", "ingestTimestamp" : "2026-06-12T02:35:51.640", "mongoId" : "6a2aee7e74d8ee00a0731d7e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://levistraussandco.wd5.myworkdayjobs.com/External/job/USA-Culver-City-Beyond-Yoga-HQ/Raw-Materials-Associate--Beyond-Yoga_R-0152753", "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Textile construction", "Garment components", "Raw materials", "Fabric development", "Trim development", "Color development", "Material planning", "Purchasing support", "Textiles", "Apparel production", "Color standards", "Excel", "PLM systems" ], "skillCount" : 13, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e42bf8b1b0376634c6ce", "title" : "Applied Scientist, Model Customization", "company" : "Amazon Web Services, Inc.", "industry" : "Machine Learning Science, Applied Science, Cloud Computing", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T02:38:40.404", "fingerprint" : "ca81a5998ae6a9b90f2cac032e7510efe4136f586efca3291c092073c266c5ec", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076322/apply", "externalId" : "6122b08a-35f7-4356-a909-0178ed5d2cff", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "technicalSkills" : "Python, Generative AI, Machine Learning, AI, LLM, Foundational Model, AWS, Amazon Bedrock, Amazon SageMaker", "professionalSkills" : [ "Model selection", "Model training", "Model tuning", "Right-sizing", "Distillation", "Hardware optimization", "Model optimization", "Inference optimization" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Reinforcement learning", "Agentic workflow", "Agent customization" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Parsing", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Parallel computing", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Agentic workflow", "level" : "intermediate" }, { "name" : "Agent customization", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine Learning, Model Customization, LLM", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Model Customization", "LLM" ], "coreResponsibilities" : "Research generative AI solutions, Design generative AI solutions, Develop generative AI solutions, Evaluate generative AI solutions, Interact with customers, Understand business problems, Aid customers in implementation, Brief customers, Guide customers on adoption patterns, Guide customers on paths to production, Optimize customer solutions, Select models, Train models, Tune models, Right-size models, Distill models, Optimize hardware, Provide customer feedback, Provide market feedback, Design experiments, Run experiments, Research new algorithms, Find new ways of optimizing risk, Find new ways of optimizing profitability, Find new ways of optimizing customer experience, Design state-of-the-art solutions, Evangelize state-of-the-art solutions, Implement state-of-the-art solutions", "teamCollaboration" : "AI/ML scientists; Architects; Customers", "domainKnowledge" : "Generative AI; Large Language Models; Foundational Models; Model optimization; Agentic workflow", "domainList" : [ "generative-ai", "large-language-models", "foundational-models", "model-optimization", "agentic-workflow" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Foundational Models", "Model optimization", "Agentic workflow" ], "toolProficiency" : [ "trl", "verl", "LangChain", "LlamaIndex" ], "innovationCreativity" : "Innovate in a fast-paced organization; Game-changing projects; Game-changing technologies", "problemSolvingSkills" : "Solve real world problems; Navigate technical challenges; Navigate business challenges; Optimize risk; Optimize profitability; Optimize customer experience; Solve never-before-solved problems", "qualificationsBasic" : "Master’s degree plus 5 years of relevant work experience, 5+ years of hands on experience with Python, 2+ years of experience in algorithms and data structures, 2+ years of experience in parsing, 2+ years of experience in numerical optimization, 2+ years of experience in data mining, 2+ years of experience in parallel and distributed computing, 2+ years of experience in high-performance computing, Experience with design, development, and optimization of generative AI solutions, Experience with generative AI algorithms, Experience with generative AI technologies, Scientific publication track record", "qualificationsPreferred" : "PhD degree in computer science, PhD degree in engineering, PhD degree in mathematics, PhD degree in operations research, PhD degree in a highly quantitative field, 2+ years LLM post-training experience, 2+ years LLM continual pre-training experience, 2+ years LLM fine-tuning experience, 2+ years LLM reinforcement learning experience, 2+ years Foundational Model post-training experience, 2+ years Foundational Model continual pre-training experience, 2+ years Foundational Model fine-tuning experience, 2+ years Foundational Model reinforcement learning experience, Experience building LLM-powered agentic workflow, Experience building LLM-powered orchestration, Experience building LLM agent customization, Track record of building ML models at scale, Track record of deploying ML models at scale, Experience with quantization, Experience with distillation, Experience with compression, Experience with inference optimization, Experience with trl, Experience with verl, Experience with LangChain, Experience with LlamaIndex, Hands-on experience building generative AI applications on AWS, Hands-on experience using Amazon Bedrock, Hands-on experience using Amazon SageMaker", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization • Provide customer and market feedback to product and engineering teams to help define product direction Basic Qualifications: - PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, or Master’s degree plus 5 years of relevant work experience - 5+ years of hands on experience with Python to build, train, and evaluate models - 2+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies - Scientific publication track record at top-tier AI/ML/NLP conferences or journals Preferred Qualifications: - • 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. - • Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization - • Track record of building and deploying ML models at scale - • Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) - • Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools - • Hands-on experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker - • Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Model Customization at Amazon Web Services, Inc.. Skills: Generative AI, Machine Learning, Model Customization, LLM. Research generative AI solutions. Design generative AI solutions", "postedDate" : "2026-06-13T03:19:04.757", "createdAt" : "2026-06-13T03:19:04.757", "lastUpdated" : "2026-06-15T02:38:40.404", "ingestTimestamp" : "2026-06-13T03:19:04.757", "mongoId" : "68c2e42bf8b1b0376634c6ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076322/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Reinforcement learning", "Agentic workflow", "Agent customization", "Generative AI", "Machine Learning", "Model Customization", "LLM", "Model selection", "Model training", "Model tuning", "Right-sizing", "Distillation", "Hardware optimization", "Model optimization", "Inference optimization", "Large Language Models", "Foundational Models", "trl", "verl", "LangChain", "LlamaIndex" ], "skillCount" : 29, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2aa1e474d8ee00a06abb3e", "title" : "Make Ready Technician", "company" : "LV Collective", "industry" : "Commercial Real Estate", "salary" : { "min" : 42000.0, "max" : 58000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for an Entry-level Make Ready Technician in Austin, United States, adjusted for the real estate industry and company size." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin, Texas, United States" ], "timestamp" : "2026-06-14T22:18:15.873", "fingerprint" : "ac981649555423a1efaf3be1d99f3cdc57e408929eafddf944cc803b597b834a", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/917B3A8252/apply", "externalId" : "917B3A8252", "industryFunction" : { }, "locationPoint" : "38.75839,-85.80803", "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "hardSkillsList" : [ "Sheetrock repair", "Caulking", "Sealing", "Touch-up paint" ], "hardSkills" : [ { "name" : "Sheetrock repair", "level" : "intermediate" }, { "name" : "Caulking", "level" : "intermediate" }, { "name" : "Sealing", "level" : "intermediate" }, { "name" : "Touch-up paint", "level" : "intermediate" } ], "majorSkills" : "Unit turns, Make-readies, Property upkeep", "majorSkillsList" : [ "Unit turns", "Make-readies", "Property upkeep" ], "coreResponsibilities" : "Complete make-ready checklist, Complete all repairs and improvements, Inspect sheetrock, Repair sheetrock, Caulk windows, Caulk bathroom fixtures, Seal windows, Seal bathroom fixtures, Perform touch-up paint, Clear out vacant units, Complete documentation accurately, Keep grounds clean, Keep common areas clean, Keep amenities clean, Pressure wash property, Perform general cleaning, Assist with curb upkeep, Assist with signage upkeep", "documentationSkills" : "Complete all documentation accurately and on time", "specialRequirements" : "Physical lifting up to 25 lbs, Physical lifting up to 50 lbs with assistance, Work indoors, Work outdoors", "outcomesObjectives" : "Ensure unit is perfect for move-in; Make move-in moment count", "qualificationsBasic" : "Weekend availability, Ability to work a flexible schedule, Physical ability to lift up to 25 lbs independently, Physical ability to lift up to 50 lbs with assistance, Ability to work indoors and outdoors, A valid driver's license", "qualificationsPreferred" : "Prior maintenance or trades experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you someone who gets satisfaction from walking into a rough unit and walking out knowing it's perfect? Do you take pride in the details that most people overlook? If so, LV Collective might be exactly where you belong. As Make Ready Technician, your work sets the stage for every new resident's move-in day. A home that's clean, tight, and done right isn't just a checklist item, it's someone's first experience with this community. You make that moment count. **You might be our person if…** * You notice the things others walk past and you fix them without being asked. * You move with urgency without cutting corners on quality. * You respect the space you're working in because someone is about to call it home. * You show up consistently, because the leasing schedule depends on it. **What You'll Own** _Unit Turns & Make-Readies_ * Work through the make-ready checklist from top to bottom, completing all repairs and improvements before every move-in * Inspect and repair sheetrock, caulk and seal windows and bathroom fixtures, and perform touch-up paint as directed * Clear out vacant units before the make-ready process begins and complete all documentation accurately and on time _Property Upkeep_ * Keep grounds, common areas, and amenities clean and presentable throughout the day * Pressure wash, perform general cleaning, and assist with curb and signage upkeep as needed **Requirements** * Prior maintenance or trades experience is a plus but not required, we'll teach the right person * A strong work ethic and a sharp eye for detail * Weekend availability and the ability to work a flexible schedule * Physical ability to lift up to 25 lbs independently and 50 lbs with assistance, and work indoors and outdoors * A valid driver's license * A genuine pride in doing the job well every single time", "summaryDescription" : "Make Ready Technician at LV Collective. 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TGH Brooksville (TGHBRKSV)
17240 Cortez Boulevard

Brooksville, 34601

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TGH Brooksville (TGHBRKSV)
17240 Cortez Boulevard

Brooksville, 34601

" ], "certifications" : [ "Registered Nurse License", "Basic Life Support (BLS)", "Advanced Cardiovascular Life Support (ACLS)", "Pediatric Advance Life Support (PALS)", "STABLE Brooksville", "National Institutes of Health Stroke Scale (NIHSS)" ], "timestamp" : "2026-06-15T09:39:22.941", "fingerprint" : "5e4cdf2377497152acafd420a3f5a3191bfdd1ac45da29b8ca38a1c4e3889b8f", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=676527", "externalId" : "676527", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brooksville", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.5552719,-82.3878709" } ], "locationText" : "Brooksville, Florida, United States", "minimumEducation" : "Associate's", "professionalSkills" : [ "Nursing care", "Patient assessment", "Discharge planning", "Patient education", "Care coordination" ], "hardSkillsList" : [ "Nursing documentation", "Health status analysis", "Patient care planning", "Intervention evaluation" ], "hardSkills" : [ { "name" : "Nursing documentation", "level" : "intermediate" }, { "name" : "Health status analysis", "level" : "intermediate" }, { "name" : "Patient care planning", "level" : "intermediate" }, { "name" : "Intervention evaluation", "level" : "intermediate" } ], "majorSkills" : "Cardiac Telemetry, Patient Care, Nursing Assessment", "majorSkillsList" : [ "Cardiac Telemetry", "Patient Care", "Nursing Assessment" ], "coreResponsibilities" : "Deliver nursing care, Assess patient health status, Perform patient assessments, Document patient assessments, Initiate discharge planning, Plan patient care, Update plan of care, Direct patient care activities, Communicate plan of care, Direct care team members, Document patient care, Transcribe physician orders, Provide patient education, Evaluate patient outcomes, Provide patient assessment, Provide patient care", "teamCollaboration" : "Health care team; Healthcare team members", "domainKnowledge" : "Cardiac Telemetry; Patient populations served; Patient diagnosis-based", "domainList" : [ "cardiac-telemetry", "patient-populations-served", "patient-diagnosis-based" ], "domainSpecificKnowledge" : [ "Cardiac Telemetry", "Patient populations served", "Patient diagnosis-based" ], "communicationSkills" : "Verbal communication; Shift report", "documentationSkills" : "Nursing documentation; Patient charting", "outcomesObjectives" : "Assures patient rights; Ensures delivery of quality care", "qualificationsBasic" : "Registered Nurse License, Basic Life Support (BLS)", "qualificationsPreferred" : "Unit specific certifications, Advanced Cardiovascular Life Support (ACLS), Pediatric Advance Life Support (PALS), STABLE Brooksville", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, following established policies, procedures, and professional guidelines, delivers nursing care to patients. Plans and implements nursing care; documents nursing assessments; identifies and reports situations requiring further intervention; formulates and communicates goal-directed plan of care; assures patient rights. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital and principles of quality improvement. Essential Functions Assesses and analyzes the health status of patients in assigned nursing unit in a comprehensive manner. Performs and/or assures completed assessments on all patients admitted within the designated time delineated in policy/unit standards. Performs on-going assessments and documents according to policy and procedure, reports significant findings of admission and on-going assessments to appropriate member of heath care team. Initiates discharge planning process with initial admission assessment. Plans patient care on assigned unit in collaboration with the patient, family, and health care team. Formulates individualized patient plan of care based on assessment data within the designated time delineated in policy/unit standards. Updates plan of care based on the patient assessment within appropriate time period. Directs, implements and coordinates patient care activities on assigned unit to ensure the delivery of quality care. Communicates the plan of care to other members of the healthcare team through daily worksheet conferences, verbally during the shift and shift report. Directs care team members in accordance with their scope of practice. Communicates and documents all patient care given including assessments, plan of care, interventions, patient response, and follow up. Transcribes and directs the implementation of physician orders. Provides patient education based on assessed needs and evaluates understanding. Conducts ongoing evaluation of patient outcomes and documents effectiveness of planned and implemented interventions and strategies in relation to the plan of care within time frames per policy/unit standards. Includes patient and family in the evaluation process. Provides appropriate patient assessment and care specific to the needs of the patient populations served (e.g. age groups, patients of size; diagnosis-based). Demonstrates knowledge and awareness of the specific physical, psychosocial and developmental needs of patients as appropriate to the populations served. Education Associate's Degree Nursing License/Registration- Issued by Florida or Compact State Registered Nurse License Certification Basic Life Support (BLS) through American Heart Association or American Red Cross Work Experience and Additional Information Unit specific certifications may be required. 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Assess patient health status", "createdAt" : "2026-06-14T06:48:03.394", "lastUpdated" : "2026-06-15T09:39:22.941", "ingestTimestamp" : "2026-06-14T06:48:03.394", "mongoId" : "69cf26122beec4dd3d90b47a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Nursing documentation", "Health status analysis", "Patient care planning", "Intervention evaluation", "Cardiac Telemetry", "Patient Care", "Nursing Assessment", "Nursing care", "Patient assessment", "Discharge planning", "Patient education", "Care coordination", "Patient populations served", "Patient diagnosis-based", "Registered Nurse License", "Basic Life Support (BLS)", "Advanced Cardiovascular Life Support (ACLS)", "Pediatric Advance Life Support (PALS)", "STABLE Brooksville", "National Institutes of Health Stroke Scale (NIHSS)" ], "skillCount" : 20, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a3f2c74d8ee00a05c11c7", "title" : "AI Engineer (Model)", "company" : "Toss", "salary" : { "min" : 8.5E7, "max" : 1.3E8, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Engineer in Seoul, South Korea, adjusted for the technology industry and a large company size." }, "location" : "Seoul, Seoul, South Korea", "locations" : [ "Seoul", "Seoul", "South Korea" ], "timestamp" : "2026-06-11T08:10:14.192", "fingerprint" : "d1ab4306022f8e5753b91a773ab9307f57e4674462ddc265284a4dad8021cba0", "source" : "greenhouse", "language" : "ko", "applyUrl" : "https://toss.im/career/job-detail?gh_jid=7758217003", "externalId" : "7758217003", "structuredLocations" : [ { "city" : "Seoul", "state" : "Seoul", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.5534363,126.9697994" } ], "locationText" : "Seoul, Seoul, South Korea", "technicalSkills" : "LLM, VLM, Python, DeepSpeed, FSDP, Megatron, Transformers, vLLM", "professionalSkills" : [ "Model training", "Data pipeline", "Performance evaluation", "Learning strategy", "Domain adaptation" ], "hardSkillsList" : [ "Model training", "Data curation", "Experiment design", "Quantitative analysis", "Pipeline optimization", "Post-training techniques", "Distributed learning", "Synthetic data generation", "Model evaluation", "Domain-adapted modeling" ], "hardSkills" : [ { "name" : "Model training", "level" : "intermediate" }, { "name" : "Data curation", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Pipeline optimization", "level" : "intermediate" }, { "name" : "Post-training techniques", "level" : "intermediate" }, { "name" : "Distributed learning", "level" : "intermediate" }, { "name" : "Synthetic data generation", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Domain-adapted modeling", "level" : "intermediate" } ], "majorSkills" : "LLM Model Training, Data Engineering, Model Evaluation", "majorSkillsList" : [ "LLM Model Training", "Data Engineering", "Model Evaluation" ], "coreResponsibilities" : "Build high-quality datasets, Refine data through experimentation, Explore optimal data distributions, Build stable data pipelines, Explore optimal learning pipelines, Explore learning strategies, Satisfy performance constraints, Satisfy latency constraints, Satisfy cost constraints, Solve case-specific problems, Build evaluation benchmarks, Evaluate general performance, Analyze evaluation results, Derive insights for data, Derive insights for learning", "teamCollaboration" : "Applied AI Team; Data organization", "domainKnowledge" : "Toss domain; Financial services; LLM use cases; Open weights LLM; Continual learning", "domainList" : [ "toss-domain", "financial-services", "llm-use-cases", "open-weights-llm", "continual-learning" ], "domainSpecificKnowledge" : [ "Toss domain", "Financial services", "LLM use cases", "Open weights LLM", "Continual learning" ], "toolProficiency" : [ "DeepSpeed", "FSDP", "Megatron", "Transformers", "vLLM" ], "innovationCreativity" : "Define unknown problems; Develop multifaceted solutions", "problemSolvingSkills" : "Quantitative analysis; Iterative model improvement; Problem definition; Solution development", "outcomesObjectives" : "Replace high-cost LLM cases; Build internal model capabilities; Enhance Korean language capabilities; Enhance Toss domain capabilities", "qualificationsBasic" : "LLM/VLM model training experience, Data generation-learning-evaluation cycle experience, Experiment design and quantitative analysis, Model improvement through iterative experiments, Learning pipeline optimization experience, Post-training technique familiarity, SFT, DPO, RL, LoRA, Quantization knowledge", "qualificationsPreferred" : "Large-scale distributed learning experience, Synthetic data generation pipeline design, LLM evaluation/benchmark design automation, Domain-adapted model training experience, LLM open source contribution experience", "rawDescription" : "# 합류하게 될 팀에 대해 알려드려요 - Applied AI Team은 토스 구성원이 AI로 더 잘 일할 수 있도록 만드는 팀이에요. AI를 단순히 가져다 쓰는 것을 넘어, 현업의 문제 안으로 직접 들어가 AI 기반 제품과 워크플로우를 처음부터 끝까지 설계하고 운영해요. - 그중 모델 파트는 토스가 외부 상용 LLM에 의존하던 고비용 유스케이스를 직접 학습한 모델로 내재화하는 일을 해요. - 단기적으로는 고비용 LLM 사용 케이스를 내재화 모델로 대체해 나가고, 장기적으로는 Open weights LLM을 기반으로 한국어와 토스 도메인 역량을 강화하며, 사내 데이터와 피드백을 지속적으로 반영하는 continual learning 체계를 구축하는 것을 목표로 해요. - AI Engineer (Model)은 데이터 구축부터 모델 학습, 평가 체계까지 모델을 만드는 전 과정을 책임지며, 토스가 자체 모델 역량을 갖추는 데 핵심적인 역할을 하게 돼요. - **토스 데이터 조직에 대해 더 알아보고 싶다면?** [→ *토스 Data Division 위키*](https://recruit-data-division.oopy.io/) # 합류하면 함께 할 업무에요 데이터 구축 - 토스의 실제 서비스 데이터를 LLM이 학습할 수 있는 고품질 데이터셋으로 구축해요. - 실험 기반으로 데이터를 정제하고, 최적의 데이터 분포를 탐색하며, 이를 안정적으로 재현하는 데이터 파이프라인을 구축해요 모델 학습 - Post-training, continual learning을 위한 최적의 학습 파이프라인을 탐색해요 - 케이스별 요구 성능·latency·비용 제약을 만족하는 학습 전략을 탐색하여 주어진 문제를 해결해요. 평가 benchmark 구축 - 토스 서비스에서의 실제 성능과 범용 성능을 종합적으로 평가하는 benchmark를 구축해요. - 평가 결과 분석을 통해 새로운 데이터와 학습 방식에 대한 인사이트를 도출해요 # 이런 분과 함께하고 싶어요 - LLM/VLM 모델을 직접 학습해 실제 문제를 개선해 본 경험이 필요해요. 데이터 생성-학습-평가로 이어지는 사이클을 돌려보신 분을 찾아요. - 실험을 설계하고 결과를 정량적으로 분석하는 데 능숙한 분이 필요해요. 가설을 스스로 정의하고, 반복 실험으로 모델을 개선해 오신 분 - 모델링 사이클을 빠르게 돌리기 위해 학습 파이프라인을 최적화해 본 경험이 필요해요. 가설-실험-개선을 빠르게 반복할 수 있어야 해요. - 다양한 post-training 기법에 익숙한 분을 찾아요. SFT, DPO, RL, LoRA, Quantization 등 학습 전략을 상황에 맞게 선택하실 수 있어야 해요 # 이런 경험이 있으면 더 좋아요 - 대규모 학습을 위한 분산 학습(DeepSpeed, FSDP, Megatron 등) 경험 - Synthetic data 생성 파이프라인을 설계하고 데이터 품질이 성능에 미치는 영향을 분석해 본 경험 - LLM evaluation / benchmark를 직접 설계하고 자동화한 경험 - 특정 도메인(금융, 의료, 법률, 커머스 등)의 데이터를 활용하여 domain-adapted model을 학습하고 서비스에 배포해 본 경험 - LLM 오픈소스(transformers, vLLM 등)에서 발생한 이슈를 해결하거나 커뮤니티에 기여해 본 경험 # 이력서는 이렇게 작성하시는 걸 추천해요 - 참여한 프로젝트에서 본인이 정의한 문제, 선택한 접근법, 실험 방법과 성능 개선 내용을 구체적으로 적어주세요. 특히 모델 적용 전후의 정량 지표가 있다면 좋아요 - 데이터·학습·평가 중 어느 단계에서 어떤 의사결정과 트레이드오프가 있었는지, 또는 잘 안 됐던 시도와 거기서 얻은 결론도 환영해요 - LLM 오픈소스 모델/소프트웨어 사용 중 발생한 버그를 해결하거나, 부족한 기능을 개선하기 위해 기여한 경험이 있다면 적어주세요 # 토스로의 합류여정 - 서류 접수 > 프리 인터뷰 > 직무 인터뷰 > 문화적합성 인터뷰 > 레퍼런스 체크 > 처우 협의 > 최종 합격 - 프리 인터뷰에서는 지원서 기반의 주요 경험과 직무 적합도를 중심으로 면접이 진행될 예정이에요. - 직무 인터뷰에서는 심층 기술 면접과 ML 시스템 설계를 주제로 면접이 진행될 예정이에요. # 함께할 동료를 위한 한마디 > \"LLM 기술이 급격하게 성장하면서 정말 다양한 유스케이스가 쏟아져 나오고 있어요. 우리 팀은 LLM과 Agent 기술로 토스의 일하는 방식을 근본적으로 바꾸고 싶어요.\" - 저희는 토스의 LLM 유스케이스를 해결하는 역할을 하지만, 팀의 긴 호흡을 통해 토스가 가진 내부적 최적화의 가장 큰 임팩트 지점을 2개로 설정했고 이 과제를 해결하기 위해 노력하고 있어요. - 있어 보이는 LLM 응용보다는 임팩트 있는 케이스를 주도적으로 해결하고 LLM 기술을 토스의 곳곳에 전파하는 역할을 하고 있어요. - 아직 밝혀지지 않은 문제를 정의하고, 심층적이면서 다면적인 해법을 찾아가는 과정을 즐기는 분을 기다리고 있습니다. - 일의 범위를 가리지 않고 본인의 역량을 끊임없이 확장하고자 하는 분에게 너무나 적합한 팀이에요. - LLM 은 토스의 다양한 난제를 풀기 위한 또 하나의 전략 무기에요. 토스가 다양한 서비스를 가지고 있는 만큼 LLM으로 토스의 여러 부분을 최적화 할 수 있는 기회가 너무나도 많이 열려있어요.", "summaryDescription" : "AI Engineer (Model) at Toss. Skills: LLM Model Training, Data Engineering, Model Evaluation. Build high-quality datasets. Refine data through experimentation", "postedDate" : "2026-06-11T07:16:59.878", "createdAt" : "2026-06-11T07:16:59.878", "lastUpdated" : "2026-06-11T08:10:14.192", "ingestTimestamp" : "2026-06-11T07:16:59.878", "mongoId" : "6a2a3f2c74d8ee00a05c11c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Model training", "Data curation", "Experiment design", "Quantitative analysis", "Pipeline optimization", "Post-training techniques", "Distributed learning", "Synthetic data generation", "Model evaluation", "Domain-adapted modeling", "LLM Model Training", "Data Engineering", "Model Evaluation", "Data pipeline", "Performance evaluation", "Learning strategy", "Domain adaptation", "Toss domain", "Financial services", "LLM use cases", "Open weights LLM", "Continual learning", "DeepSpeed", "FSDP", "Megatron", "Transformers", "vLLM" ], "skillCount" : 27, "jobCategory" : "other", "jobSubcategory" : "토스코어", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a4b8c74d8ee00a05e9f44", "title" : "Raw & Finish Goods Operator-Entry", "company" : "Blue Diamond Growers", "salary" : { "min" : 28.95, "max" : 28.95, "currency" : "USD", "frequency" : "yearly" }, "location" : "Salida, CA", "locations" : [ "Salida, CA", "United States of America" ], "certifications" : [ "BD Certified and Licensed" ], "timestamp" : "2026-06-12T13:45:42.327", "fingerprint" : "6dc84c1b677794ff9ba5bda05fac1c91155a4ff63dfd1d104235b97f52a1255a", "source" : "workday", "language" : "en", "applyUrl" : "https://bdgrowers.wd1.myworkdayjobs.com/External/job/Salida-CA/Raw---Finish-Goods-Operator-Entry_05460-1", "externalId" : "05460", "locationPoint" : "37.70576,-121.08494", "structuredLocations" : [ { "city" : "Salida", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7151375,-121.0866788" } ], "locationText" : "Salida, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Food Safety", "Food Security", "Food Quality" ], "hardSkillsList" : [ "Machine operations", "Mechanical aptitude", "Basic troubleshooting", "Basic math skills" ], "softSkillsList" : [ "Team Member" ], "hardSkills" : [ { "name" : "Machine operations", "level" : "intermediate" }, { "name" : "Mechanical aptitude", "level" : "intermediate" }, { "name" : "Basic troubleshooting", "level" : "intermediate" }, { "name" : "Basic math skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Team Member" } ], "majorSkills" : "Machine operation, Troubleshooting, Food Safety", "majorSkillsList" : [ "Machine operation", "Troubleshooting", "Food Safety" ], "coreResponsibilities" : "Operate plant equipment safely, Set up production equipment, Monitor production equipment, Make operational adjustments to equipment, Follow standard work practices, Maintain standard work practices, Improve standard work practices, Operate a forklift, Operate a transporter, Perform general housekeeping, Perform sanitation functions, Participate on committees, Participate on teams, Participate in meetings, Perform other tasks as assigned", "teamCollaboration" : "Fully participating Team Member", "domainKnowledge" : "Good Manufacturing Practices; HACCP process; Auditing; Safety Practices", "domainList" : [ "good-manufacturing-practices", "haccp-process", "auditing", "safety-practices" ], "domainSpecificKnowledge" : [ "Good Manufacturing Practices", "HACCP process", "Auditing", "Safety Practices" ], "toolProficiency" : [ "Forklift", "Transporter" ], "communicationSkills" : "Read and interpret documents", "continuousLearning" : "Free training; Career advancement", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Exposure to noise, Exposure to dust, Exposure to hazardous materials, Exposure to heavy machinery, Work in varying conditions, Climb stairs, Climb ladders", "outcomesObjectives" : "Meet quality targets; Meet production targets", "qualificationsBasic" : "High School Diploma or equivalent, Knowledge of machine operations, Mechanical aptitude, Perform basic troubleshooting, Read and interpret documents, Basic math skills, Work overtime as necessary", "qualificationsPreferred" : "Previous experience operating machines", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Work Shift: Day Pay Type: Hourly Hourly Rate (if applicable): $28.95 Targeted Base Salary Range (if applicable): N/A **JOB OVERVIEW:** The Raw & Finished Goods Operator - Entry will be responsible for operating machinery, autonomous maintenance, troubleshooting equipment, and sanitation. Good Manufacturing Practices (GMP’s) will be followed in all aspects of this position in addition to adhering to all procedures and practices associated with Food Safety, Food Security and Food Quality. **RESPONSIBILITIES:** * Safely operate plant equipment. Responsible for set up, monitoring and operational adjustments to production equipment to ensure that quality and production targets are met. * Function daily as a fully participating Team Member in support of driving continuous improvement and operating results. Required to follow, maintain, and improve standard work practices across all equipment. * Required to operate a forklift and /or transporter and must be BD Certified and Licensed to operate either equipment. * Must understand Blue Diamond line certification, HACCP process and auditing, Good Manufacturing Practices (GMP’s) and Safety Practices. * Required to perform general housekeeping and various sanitation functions. * Actively participates on various committees, teams, and meetings to improve overall operations effectiveness. * Required to perform other tasks as assigned by management. **WHAT YOU NEED** _*Minimum qualifications_ * High School Diploma or equivalent. * Position requires knowledge of machine operations and mechanical aptitude to keep machinery and equipment operating optimally and effectively. Must have the ability to perform basic troubleshooting. * Must be able to read and interpret documents such as safety rules, work schedules and performance graphs, and have basic math skills. * Previous experience operating machines is preferred. * Must be able to work overtime as necessary. **WORK ENVIRONMENT** This is a standard manufacturing environment with exposure to noise, dust, hazardous materials, and heavy machinery in varying work and weather conditions. You may be required to occasionally climb stairs and/or ladders. **WHY BLUE DIAMOND?** In addition to working at the world’s largest, state-of-the-art almond manufacturer, we offer a safe and collaborative team environment, with numerous opportunities for free training and career advancement. Check out the BDG Benefits, Health & Wellness Guide [HERE](https://www.bluediamond.com/careers/#accordion-health-welfare-benefits)****. ## ## **Grow your career. Partner with us. We Are the Almond People!** **Ready to get started**? **Apply now!** ### **Blue Diamond Growers (BDG) is an Equal Employment Opportunity Employer. BDG provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information. BDG also complies with all provisions of the U.S. Government 's Executive Order 11246 dated September 24, 1965 and the rules, regulations and relevant orders of the Secretary of Labor.**", "summaryDescription" : "Raw & Finish Goods Operator-Entry at Blue Diamond Growers. Skills: Machine operation, Troubleshooting, Food Safety. Operate plant equipment safely. Set up production equipment", "postedDate" : "2026-06-10T14:20:19.276", "createdAt" : "2026-06-11T14:20:19.193", "lastUpdated" : "2026-06-12T13:45:42.327", "ingestTimestamp" : "2026-06-11T14:20:19.193", "mongoId" : "6a2a4b8c74d8ee00a05e9f44", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://bdgrowers.wd1.myworkdayjobs.com/External/job/Salida-CA/Raw---Finish-Goods-Operator-Entry_05460-1", "salaryAnnualMin" : 60216, "salaryAnnualMax" : 60216, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Machine operations", "Mechanical aptitude", "Basic troubleshooting", "Basic math skills", "Team Member", "Machine operation", "Troubleshooting", "Food Safety", "Food Security", "Food Quality", "Good Manufacturing Practices", "HACCP process", "Auditing", "Safety Practices", "BD Certified and Licensed", "Forklift", "Transporter" ], "skillCount" : 17, "jobCategory" : "other", "seniorityLevel" : "junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a5ca674d8ee00a0615942", "title" : "Senior Product Sourcing Engineer, Raw Materials", "company" : "Anduril Industries", "industry" : "Defense Technology", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Sourcing Engineer, Raw Materials in Costa Mesa, United States, adjusted for the defense technology industry and company size." }, "location" : "Costa Mesa, California, United States", "locations" : [ "Costa Mesa", "California", "United States" ], "timestamp" : "2026-06-14T21:48:43.413", "fingerprint" : "7475791181b5649067529b6a9c5f0ee48702bf806cd33e366d174cd4bfdc1e55", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5118745007?gh_jid=5118745007", "externalId" : "5118745007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Costa Mesa", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6633386,-117.9033170" } ], "locationText" : "Costa Mesa, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "domainKnowledge" : "AI-powered operating system; Autonomy; AI; Computer vision; Sensor fusion; Networking technology", "domainList" : [ "ai-powered-operating-system", "autonomy", "ai", "computer-vision", "sensor-fusion", "networking-technology" ], "domainSpecificKnowledge" : [ "AI-powered operating system", "Autonomy", "AI", "Computer vision", "Sensor fusion", "Networking technology" ], "documentationSkills" : "Statements of work", "innovationCreativity" : "Advanced technology; Cutting-edge autonomy; AI; Computer vision; Sensor fusion; Networking technology", "problemSolvingSkills" : "Root cause analysis", "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB The Senior Product Sourcing Engineer drives the strategic supply network development and cost management of Anduril’s product hardware across their lifecycles, by collaborating with suppliers and cross-functionally, including folks in engineering, quality, and manufacturing. WHAT YOU'LL DO Conduct supplier selection for a specific product, leveraging our approved supplier list Partner with strategic suppliers to accelerate product development via activities such as: Concept scoping to quickly solidify requirements Feature trade-off/trade tables Should cost/clean sheet models Joint design development, via clear statements of work Simulation of mechanical and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Senior Product Sourcing Engineer, Raw Materials at Anduril Industries", "postedDate" : "2026-06-11T21:09:08.504", "createdAt" : "2026-06-11T21:09:08.504", "lastUpdated" : "2026-06-14T21:48:43.413", "ingestTimestamp" : "2026-06-11T21:09:08.504", "mongoId" : "6a2a5ca674d8ee00a0615942", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "AI-powered operating system", "Autonomy", "AI", "Computer vision", "Sensor fusion", "Networking technology" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "hardware-operations-:-supply-chain-:-product-sourcing-engineering", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology" }, { "id" : "6a2a524a74d8ee00a05f94e8", "title" : "Data Engineer - Data Modelling Specialist", "company" : "Ebury", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Engineer in Madrid, Spain, with adjustments for the FinTech industry and senior experience." }, "location" : "Madrid", "locations" : [ "Madrid", "Málaga" ], "timestamp" : "2026-06-14T22:16:44.405", "fingerprint" : "eb2eda926479164a3415526e5ffcbf84870cfe57ef3e944061d0a50fc1b24213", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ebury.com/company/careers/job?gh_jid=4889191101", "externalId" : "4889191101", "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Spain", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, dbt, Airflow, Cloud Composer", "professionalSkills" : [ "Data modeling", "Data products", "Domain-Driven Design" ], "hardSkillsList" : [ "Data modeling", "Data warehousing", "Pipeline orchestration", "Query development", "Code review", "Testing", "CI/CD" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Pipeline orchestration", "level" : "intermediate" }, { "name" : "Query development", "level" : "intermediate" }, { "name" : "Code review", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" } ], "majorSkills" : "Data modeling, Analytics engineering, dbt, SQL", "majorSkillsList" : [ "Data modeling", "Analytics engineering", "dbt", "SQL" ], "coreResponsibilities" : "Partner with business to gather requirements, Define technical action plans for data products, Lead projects from initial definition to delivery, Develop strategies for stakeholder impact and testing, Monitor and govern data products, Design ongoing alerting frameworks, Deliver hands-on data models, Reinforce best practices across platform, Manage pipeline orchestration using Airflow, Contribute to best practices for query development, Promote best practices for version control, Promote best practices for code review, Promote best practices for documentation, Promote best practices for testing", "teamCollaboration" : "Collaborate with team members; Align on shared goals", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Finance data; P&L; FX; Exposure; Reconciliation; Domain-Driven Design", "domainList" : [ "finance-data", "p-l", "fx", "exposure", "reconciliation", "domain-driven-design" ], "domainSpecificKnowledge" : [ "Finance data", "P&L", "FX", "Exposure", "Reconciliation", "Domain-Driven Design" ], "toolProficiency" : [ "dbt", "Airflow", "Cloud Composer" ], "documentationSkills" : "Documentation", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Turn raw data into trusted assets; Ensure high reliability", "qualificationsBasic" : "4+ years experience, Analytics engineering background, dbt proficiency, SQL proficiency, Data modeling, Finance domain knowledge, Fluency in English", "qualificationsPreferred" : "Spanish is a plus, Curiosity for Domain-Driven Design", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. Data Engineer - Data Modelling Specialist Location: Madrid (Hybrid: 4 days office / 1 day WFH) We are looking for an Analytics Engineer to be embedded within one of our core product domains. You will be the owner of your domain's data warehouse, responsible for setting the standards, patterns, and practices that govern how data is modelled, structured, and consumed within your domain. You will build the semantic layer that provides the context, definitions, and structure necessary for AI agents and business stakeholders to leverage data effectively — turning raw domain data into trusted, reusable assets that the wider organisation can depend on. We operate under a Domain-Driven Design (DDD) approach, where Product, Engineering, and Data align on shared goals to eliminate bottlenecks and ensure architectural coherence across the organisation. What you will do: Partner with the business to gather requirements and define technical action plans for robust data products. Lead projects from initial definition to delivery, including strategies for stakeholder (impact and testing) Ability to split between strategic management and technical execution; you are equally comfortable architecting a multi-domain roadmap as you are diving into the IDE to ship a critical fix Proactively monitor and govern data products to ensure high reliability. You will design and propose ongoing alerting frameworks to catch anomalies before they reach the business. Deliver hands-on data models using modern software engineering practices (version control, testing, and CI/CD). Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality. Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer). Contribute to and promote best practices for query development, version control, code review, documentation, and testing What we’re looking for: 4+ years experience in similar roles, solid analytics engineering background — dbt, SQL, data modeling, and a strong sense of what makes a data product trustworthy and maintainable. High proficiency in SQL with the ability to build, robustly test, and optimize complex models. A strong sense of what makes a data product trustworthy, maintainable, and valuable to the end user. Finance domain knowledge, you understand how financial data works: P&L, FX, exposure, reconciliation. Experience with (or a genuine curiosity for) Domain-Driven Design and how it shapes team ownership and data structure. Fluency in English (Spanish is a plus). #LI-JC1 #LI-HYBRID About us Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally. Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 1,800+ Eburians across nearly 70 cities and we’re always looking to add to our team. At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage. The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars. We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.", "summaryDescription" : "Data Engineer - Data Modelling Specialist at Ebury. Skills: Data modeling, Analytics engineering, dbt, SQL. Partner with business to gather requirements. Define technical action plans for data products", "postedDate" : "2026-06-11T21:27:01.079", "createdAt" : "2026-06-11T21:27:01.079", "lastUpdated" : "2026-06-14T22:16:44.405", "ingestTimestamp" : "2026-06-11T21:27:01.079", "mongoId" : "6a2a524a74d8ee00a05f94e8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data warehousing", "Pipeline orchestration", "Query development", "Code review", "Testing", "CI/CD", "Analytics engineering", "dbt", "SQL", "Data products", "Domain-Driven Design", "Roadmap development", "Finance data", "P&L", "FX", "Exposure", "Reconciliation", "Airflow", "Cloud Composer" ], "skillCount" : 20, "jobCategory" : "other", "jobSubcategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a72f074d8ee00a064de42", "title" : "Model Finisher - DMLS", "company" : "Protolabs", "industry" : "3D Printing", "salary" : { "min" : 18.08, "max" : 22.31, "currency" : "USD", "frequency" : "per-hour-wage" }, "location" : "Raleigh, NC", "locations" : [ "Raleigh, NC" ], "timestamp" : "2026-06-15T01:22:02.397", "fingerprint" : "f2a56794f5b88b1d5a05e10b86b7590a2a042f36bfe6f6a8a76f9165c2115a38", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/protolabs/b1483faf-3b70-4b9f-86c8-f4fe36c8371d/apply", "externalId" : "b1483faf-3b70-4b9f-86c8-f4fe36c8371d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Raleigh", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.7803977,-78.6390989" } ], "locationText" : "Raleigh, North Carolina, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Additive manufacturing", "Quality control" ], "hardSkillsList" : [ "Measuring instruments", "Hand tools", "Power tools" ], "hardSkills" : [ { "name" : "Measuring instruments", "level" : "intermediate" }, { "name" : "Hand tools", "level" : "intermediate" }, { "name" : "Power tools", "level" : "intermediate" } ], "majorSkills" : "Part finishing, Quality inspection", "majorSkillsList" : [ "Part finishing", "Quality inspection" ], "coreResponsibilities" : "Perform finishing processes for additive manufactured parts, Perform hand finishing, Perform part cleaning, Perform part counting, Perform measuring, Perform sanding, Perform grit blasting, Perform polishing, Perform build breakouts, Use tools, Review order and part information, Enter related information regarding the order, Complete all applicable checklists, Maintain a clean and safe work area, Maintain individual workspace, Assist in general cleanliness of the facility, Assist in maintenance of the facility, Clean machinery/tools, Assist in maintaining machinery/tools, Assist in removal of contaminated materials, Assist in disposal of contaminated materials, Work in a self-guided manner, Identify Non-Conformance parts, Collaborate with Leads regarding issues, Collaborate with Quality Inspector regarding issues, Collaborate with Supervisor regarding issues, Seek ways to improve work processes, Seek ways to improve individual performance, Follow processes to maintain appropriate inventory, Follow processes to maintain supply levels, Observe Protolabs Safety policies, Observe Protolabs Quality policies, Follow Protolabs Safety procedures, Follow Protolabs Quality procedures, Use required PPE, Attend safety/compliance training, Serve as back up for other finishing department, Maintain respectful working relationships, Perform other duties as assigned", "teamCollaboration" : "Collaborate with team members; Collaborate with leaders; Collaborate with other departments", "domainKnowledge" : "Additive manufacturing", "domainList" : [ "additive-manufacturing" ], "domainSpecificKnowledge" : [ "Additive manufacturing" ], "toolProficiency" : [ "Calipers", "Sandpaper", "Tweezers", "Clippers", "Air guns", "Dremels", "Drills", "Soldering rods", "Hobby knives", "Utility knives", "Files", "Abrasives", "Rotary tools", "General cutters" ], "communicationSkills" : "Read English; Write English; Speak English", "problemSolvingSkills" : "Identify Non-Conformance parts", "specialRequirements" : "Lift up to 70 pounds, Work near moving mechanical parts, Work in high, precarious places, Exposed to wet and/or humid conditions, Exposed to fumes or airborne particles, Exposed to toxic or caustic chemicals, Exposed to risk of electrical shock, Exposed to vibration, U. S. Citizens, Lawful permanent residents, Foreign nationals granted refugee or asylee status", "qualificationsBasic" : "High School Diploma or equivalent, Attention to detail, Ability to focus on one task, Excellent hand eye coordination, Able to work in a fast paced, team-oriented environment, Must be able to effectively collaborate with team members, leaders, and other departments, Must have service and quality focus, Able to work safely with sharp tools/objects, Able to comprehend and follow printed and computer-screen instructions, Able to read, write and speak communicate English fluently, Able to perform basic arithmetic skills, Able to use a computer and calculator, Able to use measuring instruments, Excellent punctuality, Wear all required PPE", "qualificationsPreferred" : "Manufacturing experience, Craft-oriented experience, Experience with measuring tools, Experience with hand/power tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Be yourself at Protolabs Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification.  We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace.  So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply!  You can help make our company even better.  We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself.  We strongly believe diversity makes for more successful teams. Why Protolabs? We are the leaders in digital manufacturing. We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit. Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds. We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do. It’s our people who fuel our creativity and make our culture feel like home. Join our team as a Model Finisher! The Model Finisher is primarily responsible for the safe cleaning and finishing of additive manufactured parts in accordance with Protolabs procedures and customer specifications, identifying non-conformances in parts. Monday - Friday 10am - 6:30pm ## What you will do Perform finishing processes for additive manufactured parts in accordance with Protolabs procedures and customer specifications, which may include: hand finishing, part cleaning and counting, measuring, sanding, grit blasting, polishing, and build breakouts. Use of tools, such as: calipers, sandpaper, tweezers, clippers, air guns, dremels, drills, soldering rods, and other appropriate tools. Use of computer workstation to review order and part information, and to enter related information regarding the order. Follow and complete all applicable checklists. Maintain a clean and safe work area and individual workspace and assist in general cleanliness and maintenance of the facility. Clean and assist in maintaining any machinery/tools. Assist in the removal and disposal of contaminated materials. Work in a self-guided manner within assigned area. Assignments may be given by the Lead, Supervisor, or Production Manager. Identify Non-Conformance parts, and collaborate with Leads, Quality Inspector, and/or Supervisor regarding issues with orders or part quality. Continually seek ways to improve work processes and individual performance. Follow processes to maintain appropriate inventory and supply levels. Observe and follow all Protolabs Safety and Quality policies and procedures, including use of any required PPE (safety glasses, gloves, steel-toed footwear, etc.) and safety/compliance training. May serve as back up for other finishing department roles. Maintain collaborative and respectful working relationships. Other duties as assigned. ## What it takes High School Diploma or equivalent Strong attention to detail and ability to focus on one task for extended periods. Excellent hand eye coordination. Able to work in a fast paced, team-oriented environment. Strong communication skills. Must be able to effectively collaborate with team members, leaders, and other departments. Must have strong service and quality focus. Able to work safely with sharp tools/objects including hobby knives, utility knives, files, abrasives, rotary tools, general cutters and more. Able to comprehend and follow printed and computer-screen instructions, and direction from Supervisors and Leads. Must be able to read, write and speak communicate English fluently. Must be able to perform basic arithmetic skills. Able to use a computer and calculator. Able to use measuring instruments such as scales and calipers. Excellent punctuality. Wear all required PPE (gloves, lab coats, etc.). ## Bonus points for Manufacturing experience. Craft-oriented experience (jewelry making, woodworking, etc.). Experience with measuring tools and hand/power tools. ## What is in it for you We offer a competitive salary In addition, we offer amazing benefits including but not limited to: Health Insurance: Traditional OR High Deductible plan Flexible Spending Accounts Health Savings Account (including employer contributions) Dental and Vision Basic and Supplemental Life Insurance Short-Term and Long-Term Disability Paid caregiver leave You will receive 3 weeks of PTO, plus Holiday Pay and Volunteer Hours 401k with company match and immediate vest Employee Stock Purchase Program at a 15% discounted rate Matching grants through Protolabs foundation And More! ## Additional Information Proto Labs maintains ITAR-compliant operations in all of our United States based facilities. Due to ITAR regulations, this role is only open to U.S. Citizens, lawful permanent residents (green card holders) or foreign nationals granted refugee or asylee status. Individuals with temporary visas (e.g. E, F-1, H-1, H-2, L, B, J, TN or OPT) are not eligible for hire in this role. Proto Labs, Inc. is an Equal Opportunity Employer Physical Demands: While performing the essential duties of this job, the employee is occasionally required to sit; use a computer keyboard, monitor and mouse, telephone and printer; reach with hands, and arms, talk, see and hear. The employee is regularly required to stand, walk, stoop or kneel and must be able to lift and/or move up to 70 pounds. Work Environment: Indoors (A/C); nonsmoking; the majority of this job function is performed in a manufacturing area exposed to machinery and noise; with eye protection and safety shoes required. Occasionally works in outside weather conditions. Occasionally works near moving mechanical parts and in high, precarious places and is occasionally exposed to wet and/or humid conditions, fumes or airborne particles, toxic or caustic chemicals, risk of electrical shock and vibration. The noise level in the work environment is usually quiet to moderate.   ", "summaryDescription" : "Model Finisher - DMLS at Protolabs. Skills: Part finishing, Quality inspection. Perform finishing processes for additive manufactured parts. Perform hand finishing", "postedDate" : "2026-06-10T17:38:48.584", "createdAt" : "2026-06-10T17:38:48.584", "lastUpdated" : "2026-06-15T01:22:02.397", "ingestTimestamp" : "2026-06-12T06:07:56.874", "mongoId" : "6a2a72f074d8ee00a064de42", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 22, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Measuring instruments", "Hand tools", "Power tools", "Part finishing", "Quality inspection", "Additive manufacturing", "Quality control", "Calipers", "Sandpaper", "Tweezers", "Clippers", "Air guns", "Dremels", "Drills", "Soldering rods", "Hobby knives", "Utility knives", "Files", "Abrasives", "Rotary tools", "General cutters" ], "skillCount" : 21, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "transform raw internet telemetry into enriched model ready data jobs", "metadata" : { "title" : "transform raw internet telemetry into enriched model ready data" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 18364, "totalPages" : 368, "hasNext" : true, "hasPrevious" : false } }

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