{ "count" : 132655, "data" : [ { "id" : "6a307e05f292fd229c04f17f", "title" : "Digital Advisory Manager", "company" : "Netcompany", "industry" : "Information Technology And Services", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Digital Advisory Manager at a technology company in London, UK, adjusted for manager-level seniority and full-time employment." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T11:28:36.628", "fingerprint" : "4740d956b0a159f516f996ab524ee3f57282f4b16c96b84462acbde4c9bcd589", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Netcompany1/744000132199447--digital-advisory-manager", "externalId" : "744000132199447", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Business consulting", "Presales", "Early-stage delivery", "Problem shaping", "Opportunity shaping", "Strategic opportunities", "Commercial growth", "Advisory offerings", "Capability building" ], "hardSkillsList" : [ "Business case development", "Transformation roadmaps" ], "hardSkills" : [ { "name" : "Business case development", "level" : "intermediate" }, { "name" : "Transformation roadmaps", "level" : "intermediate" } ], "majorSkills" : "Digital transformation, Business change, Client engagement, Opportunity development", "majorSkillsList" : [ "Digital transformation", "Business change", "Client engagement", "Opportunity development" ], "coreResponsibilities" : "Engage clients at business challenge level, Lead discovery engagements, Lead problem-shaping engagements, Translate organisational challenges into opportunities, Support development of strategic opportunities, Support development of downstream delivery, Connect client needs to Netcompany capabilities, Lead discovery sessions, Lead workshops, Lead stakeholder discussions, Define problems and outcomes, Turn insights into business cases, Turn insights into proposals, Turn insights into transformation roadmaps, Deliver high-impact engagements, Support transition to delivery, Build pipeline, Identify opportunities, Support presales activities, Contribute to advisory offerings, Contribute to advisory methods, Contribute to internal capability building", "teamCollaboration" : "Cross-functional relationship building", "projectManagementSkills" : [ "Agile approaches", "Design-led approaches" ], "domainKnowledge" : "Digital transformation; Business change consulting; Transport sector; Logistics sector; Supply chain; Smart manufacturing; Energy sector; Utilities sector; Platforms; Data; AI; Digital services", "domainList" : [ "digital-transformation", "business-change-consulting", "transport-sector", "logistics-sector", "supply-chain", "smart-manufacturing", "energy-sector", "utilities-sector", "platforms", "data", "ai", "digital-services" ], "domainSpecificKnowledge" : [ "Digital transformation", "Business change consulting", "Transport sector", "Logistics sector", "Supply chain", "Smart manufacturing", "Energy sector", "Utilities sector", "Platforms", "Data", "AI", "Digital services" ], "communicationSkills" : "Clear storytelling; Stakeholder engagement", "continuousLearning" : "Professional certifications supported", "problemSolvingSkills" : "Structure complex challenges; Structure ambiguous challenges", "qualificationsBasic" : "Background in digital transformation, Background in strategy consulting, Background in business change consulting, Experience across presales, Experience across delivery, Engagement with senior stakeholders, Proven ability to shape early-stage opportunities, Proven ability to shape roadmaps", "qualificationsPreferred" : "Experience in transport sector, Experience in logistics sector, Experience in supply chain sector, Experience in smart manufacturing sector, Experience in energy sector, Experience in utilities sector", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Are you ready to join the forefront of technology innovation with Netcompany? As one of the fastest growing technology companies, we are disrupting the marketplace and revolutionizing the way businesses operate. Our vision is to be the leading digital challenger in Europe whilst evolving the next generation of IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from application development and seamless cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs As a Digital Transformation Advisory Manager, you will operate at the forefront of client engagement, working with senior stakeholders to shape, define and mobilise digital transformation initiatives. This is a role spanning business consulting, presales and early-stage delivery. You will: * Engage clients at a business challenge level, not just technical solutioning * Lead discovery and problem-shaping engagements * Translate complex organisational challenges into actionable transformation opportunities * Support the development of strategic opportunities and downstream delivery You will play a critical role in connecting client needs to Netcompany’s broader capabilities, including platforms, data, AI and digital services. Must have experience in one of the following sectors: transport, logistics, supply chain (smart manufacturing), energy/utilities Key Responsibilities * Client Engagement: Lead discovery sessions, workshops, and stakeholder discussions to define problems and outcomes * Opportunity Shaping: Turn insights into business cases, proposals, and transformation roadmaps * Advisory Delivery: Deliver high-impact engagements (strategy, roadmap, operating model) and support transition to delivery * Commercial Growth: Build pipeline, identify opportunities, and support presales activities * Practice Development: Contribute to advisory offerings, methods, and internal capability building ## Qualifications Experience * Background in digital transformation, strategy, or business change consulting * Experience across presales and delivery * Strong engagement with senior stakeholders (Director/CxO) * Proven ability to shape early-stage opportunities and roadmaps Skills * Problem Solving: Structure complex, ambiguous challenges * Communication: Clear storytelling and stakeholder engagement * Commercial Awareness: Identify and develop opportunities * Delivery: Familiarity with agile and design-led approaches * Collaboration: Strong cross-functional relationship building ## Additional Information Benefits: * Hybrid working model with some flexible working * 25 days’ holiday * Private Medical Health care via Vitality * Pension contribution, Life Assurance * Professional certifications supported as part of learning and development. * A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. * Access to our Employee Resource Groups, our groups represent diverse backgrounds and provide a platform for colleagues to connect, learn, and support one another. Join Netcompany, where we proudly hold the 5th position on the esteemed UK Top 50 Best Places to Work in the Glassdoor Employees’ Choice Awards for 2024. At Netcompany, we pride ourselves on our entrepreneurial spirit and our capacity for doing things differently. Our culture is built on fostering low bureaucracy, emphasizing high agility and promoting flexibility, enabling everyone to contribute their best. Our journey began in the UK with the acquisition of Hunter Macdonald in 2017. As one of Northern Europe's most accomplished IT companies, we have expanded our headcount globally to 7400+ employees and have offices in UK, Denmark, Norway, Poland, Holland and Vietnam. We are a Disability Confident Employer and are committed to creating an inclusive and diverse environment that celebrates every individual. Our recruitment processes are based on individual merit. 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As one of the fastest growing technology companies, we are disrupting the marketplace and revolutionizing the way businesses operate. Our vision is to be the leading digital challenger in Europe whilst evolving the next generation of IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from application development and seamless cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs As a Digital Transformation Advisory Manager, you will operate at the forefront of client engagement, working with senior stakeholders to shape, define and mobilise digital transformation initiatives. This is a role spanning business consulting, presales and early-stage delivery. You will: * Engage clients at a business challenge level, not just technical solutioning * Lead discovery and problem-shaping engagements * Translate complex organisational challenges into actionable transformation opportunities * Support the development of strategic opportunities and downstream delivery You will play a critical role in connecting client needs to Netcompany’s broader capabilities, including platforms, data, AI and digital services. Must have experience in one of the following sectors: transport, logistics, supply chain (smart manufacturing), energy/utilities Key Responsibilities * Client Engagement: Lead discovery sessions, workshops, and stakeholder discussions to define problems and outcomes * Opportunity Shaping: Turn insights into business cases, proposals, and transformation roadmaps * Advisory Delivery: Deliver high-impact engagements (strategy, roadmap, operating model) and support transition to delivery * Commercial Growth: Build pipeline, identify opportunities, and support presales activities * Practice Development: Contribute to advisory offerings, methods, and internal capability building ## Qualifications Experience * Background in digital transformation, strategy, or business change consulting * Experience across presales and delivery * Strong engagement with senior stakeholders (Director/CxO) * Proven ability to shape early-stage opportunities and roadmaps Skills * Problem Solving: Structure complex, ambiguous challenges * Communication: Clear storytelling and stakeholder engagement * Commercial Awareness: Identify and develop opportunities * Delivery: Familiarity with agile and design-led approaches * Collaboration: Strong cross-functional relationship building ## Additional Information Benefits: * Hybrid working model with some flexible working * 25 days’ holiday * Private Medical Health care via Vitality * Pension contribution, Life Assurance * Professional certifications supported as part of learning and development. * A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. * Access to our Employee Resource Groups, our groups represent diverse backgrounds and provide a platform for colleagues to connect, learn, and support one another. 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If you require any reasonable adjustments or additional support during the interview process, please email HR Team at [reasonableadjustments@netcompany.com](mailto:reasonableadjustments@netcompany.com) for assistance. #LI-RS1", "summaryDescription" : "Digital Advisory Manager at Netcompany. Skills: Digital transformation, Business strategy, Client engagement. Engage clients at business challenge level. Lead discovery engagements", "postedDate" : "2026-06-15T13:19:50.000", "createdAt" : "2026-06-15T23:52:52.047", "lastUpdated" : "2026-06-16T08:14:11.036", "ingestTimestamp" : "2026-06-15T23:52:52.047", "mongoId" : "6a306437f292fd229cfa0b28", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Problem solving", "Commercial awareness", "Delivery management", "Digital transformation", "Business strategy", "Client engagement", "Business consulting", "Presales", "Early-stage delivery", "Opportunity shaping", "Strategic opportunities development", "Commercial growth", "Roadmap development", "Agile approaches", "Design-led approaches", "Business change", "Transport sector", "Logistics sector", "Supply chain", "Smart manufacturing", "Energy sector", "Utilities sector", "Platforms", "Data", "AI", "Digital services", "Professional certifications supported" ], "skillCount" : 27, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69fababa4c40e2acd17b1205", "title" : "Integration Developer", "company" : "SD Solutions", "industry" : "Technology", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Integration Developer in Bucharest, Romania, adjusted for the Technology industry and a mid-sized company." }, "location" : "Bucharest, RO", "locations" : [ "Bucharest", "RO", "Belgrad", "RS", "Tbilisi", "GE" ], "timestamp" : "2026-06-15T21:58:14.489", "fingerprint" : "86c61ba1495b00102102fb8157b0449d46391e38a7379659f0ccbd03d11d160a", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sd-solutions.breezy.hr/p/9ea8cf8a290501-moonshot-integration-developer", "externalId" : "9ea8cf8a290501", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bucharest", "country" : "Romania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "44.4361414,26.1026840" } ], "locationText" : "Bucharest, Romania", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, APIs, Webhooks, Data pipelines", "professionalSkills" : [ "Data integration", "Service design" ], "hardSkillsList" : [ "Data integration", "API development", "Webhook implementation" ], "hardSkills" : [ { "name" : "Data integration", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Webhook implementation", "level" : "intermediate" } ], "majorSkills" : "Integration Development, Data Integration, API Design", "majorSkillsList" : [ "Integration Development", "Data Integration", "API Design" ], "coreResponsibilities" : "Design data integrations, Build data integrations, Optimize data integrations, Design services, Build services, Optimize services, Take ownership of third-party integrations", "domainKnowledge" : "Data-driven decision-making", "domainList" : [ "data-driven-decision-making" ], "domainSpecificKnowledge" : [ "Data-driven decision-making" ], "outcomesObjectives" : "Power data-driven decision-making", "qualificationsBasic" : "5+ years Python, Experience with APIs, Experience with webhooks, Experience with data pipelines", "rawDescription" : "On behalf of Moonshot, SD Solutions is looking for a talented Integration Developer to design, build, and optimize scalable data integrations and services that power data-driven decision-making across the company. 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Dedicated Intellishore project team; Small cross-functional team", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Healthcare; Life sciences; HCP engagement; Clinical development; Real-world evidence; Patient outcomes; Commercial analytics", "domainList" : [ "healthcare", "life-sciences", "hcp-engagement", "clinical-development", "real-world-evidence", "patient-outcomes", "commercial-analytics" ], "domainSpecificKnowledge" : [ "Healthcare", "Life sciences", "HCP engagement", "Clinical development", "Real-world evidence", "Patient outcomes", "Commercial analytics" ], "communicationSkills" : "Stakeholder management", "continuousLearning" : "Continuous learning", "innovationCreativity" : "Innovation; Emerging technologies", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "On-site presence in Zürich", "outcomesObjectives" : "Deliver measurable impact", "qualificationsBasic" : "3+ years data science experience, 3+ years machine learning experience, 3+ years AI solution delivery experience, Proficiency in Python, Proficiency in data science frameworks, Proficiency in ML frameworks, Hands-on cloud platforms experience, Experience implementing ML solutions at scale, Experience with full ML lifecycle, Excellent communication skills, Excellent stakeholder management skills, Excellent strategic understanding, Availability for on-site presence", "qualificationsPreferred" : "Experience in pharmaceutical industry, Experience in life sciences industry, Hands-on MLOps experience, Experience launching AI/ML solutions to production, Experience using cloud technologies, Fluency in German, Fluency in French, Experience in healthcare industry, Experience in clinical use cases, Experience in medical use cases, Experience in commercial use cases, Experience in supply chain use cases", "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for ambitious and passionate AI/ML Senior Consultants to join our fast-growing Zürich office and help develop AI-driven solutions. You will work on building machine learning models, generative AI applications, and automation tools to address key challenges in direct tandem with our healthcare & life sciences clients. About the job Do you want to be part of an exciting journey where you will get plenty of responsibility and influence? Then you need to read on! Being an AI/ML Consultant at Intellishore, you will get to shape and implement technology as well as business solutions to deliver value at our new Intellishore office in Zürich. You will have the opportunity to immerse yourself in some of the most exciting technologies while gaining an in-depth understanding of specific business challenges through close collaboration with your dedicated Intellishore project team and clients. Additionally, by joining Intellishore in Zürich, you will have a unique opportunity to influence and shape the development and commercial growth of Intellishore CH within a highly entrepreneurial and flexible setup, while benefiting from the backing of a family of over 80 Intellishorians in Denmark. Who is Intellishore? Intellishore is an advanced analytics, AI, and strategy consultancy founded in 2013 to provide healthcare & life sciences clients with a seamless combination of strategic and technical expertise. Today, we are more than 80 skilled, entrepreneurial, and passionate employees from many different backgrounds: data engineering, economics, business, marketing, and data science. Intellishore CH is our new entity in Zürich, focused on empowering pharmaceutical companies to realize their AI aspirations. We deliver solutions across the value chain - no project is the same, and the energy is high. What are we looking for in an AI/ML Senior Consultant? We are seeking a highly skilled and experienced AI Consultant to drive the design, development, and deployment of data science, machine learning, and AI solutions at scale. The ideal candidate will bring technical expertise and proven consulting capabilities to guide and support teams in delivering innovative solutions that drive business value. Experience in the pharmaceutical or life sciences industry is a strong plus, as many of our use cases involve HCP engagement, clinical development process optimization, real-world evidence, patient outcomes, and commercial analytics. Also, hands-on experience with MLOps and the launch of AI/ML solutions to production in real-world environments using cloud technologies is a big plus. At Intellishore, we are what you might call ‘agnostic,’ meaning we act as an objective technology partner, implementing only tailored and best-fit solutions for our clients. Therefore, you should be open-minded and curious to learn new technologies. Ideally, you match all or most of the following attributes: Educational background within Computer Science, Data Science, AI/ML, or related field. Solid grasp of statistics foundations. 3+ years of experience in data science, machine learning, or AI solution delivery - preferably from consulting. Proficiency in Python and associated data science/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Pandas). Hands-on experience with cloud platforms (Azure, AWS, GCP, Databricks) for building and deploying AI solutions. Experience in implementing ML solutions at scale in the cloud, covering the full lifecycle: data ingestion, model development, training, deployment, monitoring, retraining, and governance. Knowledge of MLOps practices, including CI/CD, automation, monitoring, and retraining strategies. Excellent communication, stakeholder management, and strategic understanding. Familiarity with LLMs, vector databases, and RAG techniques. Fluency in English, German, or French in addition would be a plus. Availability for on-site presence in Zürich. But do not worry about whether you have too much or too little experience. We are always looking for curious and passionate individuals to join our team, and your title will reflect your level of seniority and expertise. Preferred Qualifications Experience working in or with the pharmaceutical/healthcare industry (clinical, medical, commercial, or supply chain use cases). What will be your key responsibilities? Intellishore is a cross-functional consultancy where you will represent the data science competencies. Here you will be responsible for (among other things): Project Delivery & Strategy Drive projects with a small cross-functional team (data scientists, ML engineers, and strategy consultants) Partner with stakeholders to identify business opportunities where advanced analytics and AI can deliver measurable impact. Define best practices for delivering scalable AI solutions across the entire lifecycle, from experimentation to production. Solution Development & Deployment Design and implement machine learning and AI models using Python and modern ML libraries. Oversee deployment of solutions in cloud environments (Azure, AWS, GCP, or Databricks) with a focus on scalability and reliability. Ensure solutions are production-ready, secure, and compliant with industry standards. MLOps & Lifecycle Management Build and maintain end-to-end MLOps pipelines including CI/CD automation, model versioning, performance monitoring, and retraining workflows. Implement data and model drift detection strategies, along with automated retraining triggers. Establish best practices for monitoring, alerting, and continuous improvement of production ML systems. Innovation & Upskilling Stay ahead of industry trends in AI/ML, cloud platforms, and automation frameworks. Drive adoption of emerging technologies to enhance model accuracy, speed, and business applicability. Cultivate a culture of innovation and continuous learning within the AI team. What can we offer you? 1 | Challenging projects Exciting and challenging project roles in strategic & technical AI projects 2 | Entrepreneurial work environment A highly entrepreneurial work environment with ambitious and innovative colleagues focused on rapidly growing the Intellishore CH business 3 | Influence Unique opportunity for influencing and directing Intellishore CH's market position, commercial growth, and strategic journey 4 | Strategic seminars A yearly strategic seminar where all Intellishorians across locations spend time strategizing and team-building (in previous years, we've been to South Africa, Japan, India, China, Dubai, Iceland, Germany, and Italy) 5 | Sustainable consulting A consulting career with high levels of flexibility, allowing for work-life balance 6 | Exciting growth journey We are on a mission to redefine the world of AI consulting, and we are constantly expanding our reach \"At Intellishore, we work with a principle of always choosing the best person for the job - disregarding seniority and titles. In practice, this means that you will have a major influence on what you'll be doing on a day-to-day basis as well as the level of responsibility you will have.\" Mikkel Møller Andersen Managing Director, Intellishore CH Apply now If you are interested in applying for this position, fill out the application form. Please attach a short, customized motivational letter for this opportunity (generic letters may be overlooked). Applicants will be invited to interviews on a rolling basis. At the moment, we are only accepting applications from applicants in Switzerland", "summaryDescription" : "Senior Consultant, AI/ML at Intellishore. Skills: AI/ML, Machine learning models, Generative AI, Automation tools, Data science, MLOps. Develop AI-driven solutions. 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We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don't just measure the cutting edge of AI, they are actively shaping the frontier. Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist. We are a team of 35+, on track to triple by year end, backed by Nat Friedman (Github, Meta), Daniel Gross (SSI), Andrew Ng (Google Brain, DeepLearning.ai http://DeepLearning.ai, Amazon), Adam D'Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders. THE OPPORTUNITY We're looking for an Intermediate to Senior ML Engineer to join our team and lead projects in AI benchmarking and analysis. You'll work closely with our founders to build core parts of the software stack for our early stage start-up. The coming wave of AI scaling is going to change the world in ways we don't yet understand — and we're offering a front row seat. WHAT YOU’LL DO - Lead the development and optimization of aspects of our core benchmarking stack, focusing on data intensive backend systems and APIs, and driving projects from concept to shipped - Design and implement robust Python solutions for benchmarking, model evaluation and data analysis - Design and implement user interfaces and data visualizations that distill complex AI benchmarking data into intuitive, interactive experiences for thousands of daily users - Conduct custom analyses for enterprise customers, providing actionable insights to inform their AI strategies - Contribute to the evolution of our benchmarking methodologies, including development of evaluation methodology for emerging modalities and capabilities - Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry WHAT WE’RE LOOKING FOR - 3+ years of professional software engineering experience - Passion for AI and eagerness to work at the forefront of technological innovation - Proficiency with relevant Python libraries for data analysis (e.g. pandas) and key AI APIs (e.g. OpenAI) - Familiarity with cloud infrastructure, orchestration and monitoring tools - Experience with visualizing & presenting data - Strong problem-solving skills and ability to distill complex concepts into actionable insights in the face of uncertainty - Excellent communication and collaboration skills - Proven ability to lead projects independently in a fast-paced environment - Bachelor's or Master's in Computer Science, Engineering, or related field (e.g. Physics) Preferred but not essential: - Experience with AI/ML frameworks (e.g. PyTorch) - Creation of analytical reports WHY ARTIFICIAL ANALYSIS? - Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI. - Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI. - Work with the most important players in AI: You'll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice. - Join at a defining moment: We're 35+ people and fast growing, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale. - Competitive compensation including equity - Our team is split across San Francisco, Sydney, and Melbourne ", "summaryDescription" : "Senior AI / ML Engineer at Artificial Analysis. Skills: AI benchmarking, ML engineering, Data analysis, Backend systems. Lead development benchmarking stack. 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"Mergers and acquisitions", "Financial reporting", "Accounting standards" ], "toolProficiency" : [ "Bloomberg Terminal", "Capital IQ" ], "communicationSkills" : "Client presentations; Written reports", "documentationSkills" : "Financial reports", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "2-3 years experience", "qualificationsPreferred" : "CFA charterholder preferred, CPA license preferred, MBA preferred, Master's degree preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Work with a Top 20 CPA and advisory firm that Accounts for Anything. Aprio has 40 U.S. office locations, as well as international office locations and more than 3,200 team members that speak 60+ languages across the globe. By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing industries, Aprio ensures clients are prepared for wherever life or business may take them. Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio. Join Aprio's (Insert Team) team and you will help clients maximize their opportunities. Aprio Advisory Group, LLC is a progressive, fast-growing firm looking for a (Title) to join their dynamic team. ## Responsibilities Compiling and analyzing historical financial data/financial statements provided by the buyer and/or seller. Commenting on client sellers and client targets’ financial operating results and financial position by highlighting significant business profitability trends and overly aggressive accounting policies. Understanding customer and vendor trends and other key transaction risk considerations. Proactively participating in meetings with Aprio client service team and management of client. Analyzing the cash flow impact of capital expenditures and working capital trends and changes. Creating and designing tailored transaction advisory reports addressing significant transaction consideration matters and issues. Continuously fostering relationships with coworkers (through all services lines and industry groups of Aprio) and clients (both strategics and private equity). Participating in a work environment that values and promotes camaraderie, collaboration and giving back to the community. Traveling approximately up to 15% of the time while upholding Aprio’s values and reputation. ## Qualifications Bachelor’s degree in accounting or finance Licensed CPA is a plus Understanding and applying Excel, PowerPoint and Word skills Demonstrating poise working with private equity and corporate executives Positive attitude, strong work ethic and excellent interpersonal and relationship building skills Working effectively and personably with a diverse group Strong written and verbal communication and presentation skills 2 – 3-year experience in Audit, Finance or Transaction Advisory Services Displaying adequate knowledge of US GAAP ## Additional Information Why work for Aprio: Whether you are just starting out, looking to advance into management or searching for your next leadership role, Aprio offers an opportunity to grow with a future-focused, innovative firm. Perks/Benefits we offer for full-time team members: - Medical, Dental, and Vision Insurance on the first day of employment - Flexible Spending Account and Dependent Care Account - 401k with Profit Sharing - 9+ holidays and discretionary time off structure - Parental Leave – coverage for both primary and secondary caregivers - Tuition Assistance Program and CPA support program with cash incentive upon completion - Discretionary incentive compensation based on firm, group and individual performance - Incentive compensation related to origination of new client sales - Top rated wellness program - Flexible working environment including remote and hybrid options What’s in it for you: - Working with an industry leader: Be part of a high-growth firm that is passionate for what’s next. - An awesome culture: Thirty-one fundamental behaviors guide our culture every day ensuring we always deliver an exceptional team-member and client experience. We call it the Aprio Way. This shared mindset creates lasting relationships between team members and with clients. - A great team: Work with a high-energy, passionate, caring and ambitious team of professionals in a collaborative culture. - Entrepreneurship: Have the freedom to innovate and bring your ideas to help us grow to become the CPA firm of choice nationally. - Growth opportunities: Grow professionally in an environment that fosters continuous learning and advancement. - Competitive compensation: You will be rewarded with competitive compensation, industry-leading benefits and a flexible work environment to enjoy work/life balance. EQUAL OPPORTUNITY EMPLOYER Aprio is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex; pregnancy; sexual orientation; gender identity and/or expression; age; disability; genetic information, citizenship status; military service obligations or any other category protected by applicable federal, state, or local law. Aprio, LLP and Aprio Advisory Group, LLC, operate in an alternative business structure, with Aprio Advisory Group, LLC providing non-attest tax and consulting services, and Aprio, LLP providing CPA firm services.", "summaryDescription" : "Senior Associate, Transaction Advisory Services at Aprio. Skills: Transaction advisory, Financial modeling, Valuation. Assist with financial due diligence. 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D. in related field, Experience reinforcement learning, Familiarity MLOps best practices, Passion for WHOOP's mission", "workSiteFlexibility" : "Onsite", "rawDescription" : "WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance. We are seeking a Senior AI Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior. In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members. RESPONSIBILITIES: - - Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. - Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities. - Develop scalable, distributed training pipelines for large models on high-performance compute environments. - Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability. - Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value. - Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP. - Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI. QUALIFICATIONS: - - Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience. - 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems. - Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training. - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). - Familiarity with training models on mulit-node, multi-gpu distributed compute environments. - Familiarity with best practices for data, model, and context parallelisms. - Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications. - Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.). - Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute. - Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams. - Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $190,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Senior AI/ML Researcher (Foundation AI) at WHOOP. Skills: Foundation models, Deep learning, Multimodal models, Applied AI/ML. Design multimodal foundation models. 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"Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5bd74d8ee00a09b7ee9", "title" : "Consultant, AI/ML", "company" : "Intellishore", "industry" : "Consulting", "salary" : { "min" : 95000.0, "max" : 125000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior AI/ML Consultant in Zurich, Switzerland, adjusted for the healthcare industry and entry-level experience." }, "location" : "Zurich", "locations" : [ "Zurich" ], "timestamp" : "2026-06-16T00:54:45.403", "fingerprint" : "f6d4433cb3988df7a732e0d8185a8e876545af564b44ed2a350a0c29089dacd4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/intellishoredk/jobs/7741425003", "externalId" : "7741425003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zürich", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.3744489,8.5410422" } ], "locationText" : "Zürich, Switzerland", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Machine learning, Generative AI, AI, Data engineering, Data science, Python, XGBoost, PyTorch, TensorFlow, LLMs, Vector databases, RAG techniques, AWS, Azure, GCP", "professionalSkills" : [ "Solution design", "Technology implementation", "Business solutions" ], "hardSkillsList" : [ "Machine learning engineering", "Statistics", "Data processing", "Software engineering practices" ], "hardSkills" : [ { "name" : "Machine learning engineering", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Software engineering practices", "level" : "intermediate" } ], "majorSkills" : "AI, Machine learning, Generative AI", "majorSkillsList" : [ "AI", "Machine learning", "Generative AI" ], "coreResponsibilities" : "Develop machine learning solutions, Implement machine learning solutions, Develop generative AI solutions, Implement generative AI solutions, Build scalable data pipelines, Integrate AI models into production, Implement natural language processing, Implement retrieval-augmented generation, Create proofs-of-concept, Demonstrate AI capabilities, Collaborate with cross-functional teams, Support client engagements, Communicate technical concepts", "teamCollaboration" : "Cross-functional teams; Dedicated Intellishore project team", "domainKnowledge" : "Healthcare; Life sciences; Pharmaceutical companies", "domainList" : [ "healthcare", "life-sciences", "pharmaceutical-companies" ], "domainSpecificKnowledge" : [ "Healthcare", "Life sciences", "Pharmaceutical companies" ], "communicationSkills" : "Communicate technical concepts", "problemSolvingSkills" : "Problem-solving", "specialRequirements" : "Availability for on-site presence, Applications from Switzerland", "qualificationsBasic" : "1+ years of experience in machine learning and AI engineering, Solid grasp of statistics foundations, Python programming skills, Experience with ML frameworks, Knowledge of cloud platforms, Understanding of data processing techniques, Understanding of best software engineering practices, Problem-solving skills, Ability to learn quickly, Effective communication skills, Effective collaboration skills, Fluency in English", "qualificationsPreferred" : "Hands-on exposure to healthcare/life sciences industries use cases, Familiarity with LLMs, Familiarity with vector databases, Familiarity with RAG techniques, Fluency in German, Fluency in French", "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for ambitious and passionate AI/ML Consultants to join our fast-growing Zürich office and help develop AI-driven solutions. You will work on building machine learning models, generative AI applications, and automation tools to address key challenges in direct tandem with our healthcare & life sciences clients. About the job Do you want to be part of an exciting journey where you will get plenty of responsibility and influence? Then you need to read on! Being an AI/ML Consultant at Intellishore, you will get to shape and implement technology as well as business solutions to deliver value at our new Intellishore office in Zürich. You will have the opportunity to immerse yourself in some of the most exciting technologies while gaining an in-depth understanding of specific business challenges through close collaboration with your dedicated Intellishore project team and clients. Additionally, by joining Intellishore in Zürich, you will have a unique opportunity to influence and shape the development and commercial growth of Intellishore CH within a highly entrepreneurial and flexible setup, while benefiting from the backing of a family of over 80 Intellishorians in Denmark. Who is Intellishore? Intellishore is an advanced analytics, AI, and strategy consultancy founded in 2013 to provide healthcare & life sciences clients with a seamless combination of strategic and technical expertise. Today, we are more than 80 skilled, entrepreneurial, and passionate employees from many different backgrounds: data engineering, economics, business, marketing, and data science. Intellishore CH is our new entity in Zürich, focused on empowering pharmaceutical companies to realize their AI aspirations. We deliver solutions across the value chain - no project is the same, and the energy is high. What are we looking for in an AI/ML Consultant? We are looking for an AI/ML Consultant at the beginning of their career who is curious and eager to develop real-life solutions for interesting clients. Perhaps you have recently completed your education or have a few years of full-time experience in AI and Data Science, possibly from a consultancy. At Intellishore, we are what you might call ‘agnostic,’ meaning we act as an objective technology partner, implementing only tailored and best-fit solutions for our clients. Therefore, you should be open-minded and curious to learn new technologies. Ideally, you match all or most of the following attributes: 1+ years of experience in machine learning and AI engineering (hands-on exposure to healthcare/life sciences industries use cases is a plus). Solid grasp of statistics foundations. Strong Python programming skills. Experience with ML frameworks (XGBoost, PyTorch, TensorFlow, etc.). Highly motivated to join Intellishore and its mission to revolutionize AI adoption in healthcare/life sciences, as demonstrated in the cover letter. Familiarity with LLMs, vector databases, and RAG techniques would be a plus, but deep knowledge of \"traditional\" AI/ML is a must. Knowledge of cloud platforms (AWS, Azure, or GCP). Understanding of data processing techniques and best software engineering practices. Strong problem-solving skills and the ability to learn quickly. Effective communication and collaboration skills. Fluency in English, German, or French, in addition, would be a plus. Availability for on-site presence in Zürich. And do not worry about whether you have too much or too little experience. We are always looking for curious and passionate people to join our family, and your title will match your level of seniority and expertise. What will be your key responsibilities? Intellishore is a cross-functional consultancy where you will represent the back-end area in the technical track. Here you will be responsible for (among other things): Develop and implement machine learning and generative AI solutions. Build scalable data pipelines and integrate AI models into production environments. Implement natural language processing (NLP) and retrieval-augmented generation (RAG) techniques. Create proofs-of-concept to demonstrate AI capabilities. Collaborate with cross-functional teams on solution design and development. Support client engagements and communicate technical concepts effectively. What can we offer you? 1 | Challenging projects Exciting and challenging project roles in strategic & technical AI projects 2 | Entrepreneurial work environment A highly entrepreneurial work environment with ambitious and innovative colleagues focused on rapidly growing the Intellishore CH business 3 | Influence Unique opportunity for influencing and directing Intellishore CH's market position, commercial growth, and strategic journey 4 | Strategic seminars A yearly strategic seminar where all Intellishorians across locations spend time strategizing and team-building (in previous years, we've been to South Africa, Japan, India, China, Dubai, Iceland, and Germany) 5 | Sustainable consulting A consulting career with high levels of flexibility, allowing for work-life balance 6 | Exciting growth journey We are on a mission to redefine the world of AI consulting, and we are constantly expanding our reach \"At Intellishore, we work with a principle of always choosing the best person for the job - disregarding seniority and titles. In practice, this means that you will have a major influence on what you'll be doing on a day-to-day basis as well as the level of responsibility you will have.\" Mikkel Møller Andersen Managing Director, Intellishore CH Apply now If you are interested in applying for this position, fill out the application form. Please attach a short motivational letter customized for this opportunity (generic letter might be overlooked). Applicants will be invited to interviews on a rolling basis. At the moment, we are only accepting applications from applicants in Switzerland.", "summaryDescription" : "Consultant, AI/ML at Intellishore. Skills: AI, Machine learning, Generative AI. Develop machine learning solutions. 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Centri provides companies with the expertise they need to meet their reporting demands. Centri specializes in financial reporting, internal controls, technical accounting research, valuation, mergers at least 1 in public accounting or professional services highly preferred. This position is an exempt position as it relates to the fair labor standards Act. Centri provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 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Meet client reporting demands", "postedDate" : "2026-06-14T05:15:21.400", "createdAt" : "2026-06-14T05:15:21.400", "lastUpdated" : "2026-06-15T05:27:18.409", "ingestTimestamp" : "2026-06-14T05:15:21.400", "mongoId" : "6a2c6a9d74d8ee00a090ce7c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3058bdf292fd229cf43fd6", "title" : "Senior AI Solutions Developer", "company" : "Sourcefit", "industry" : "Technology", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior AI Solutions Developer in Quezon City, Philippines, adjusted for the technology industry and full-time employment." }, "location" : "Eastwood Quezon City, PH", "locations" : [ "Eastwood Quezon City", "PH" ], "timestamp" : "2026-06-16T06:41:49.762", "fingerprint" : "e091737a05d8b119fab88244c6c9633210e65be24c98860d55c2255136ce5d25", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sourcefit.breezy.hr/p/98897f23e62d-senior-ai-solutions-developer", "externalId" : "98897f23e62d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Quezon City", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.6510546,121.0486254" } ], "locationText" : "Quezon City, Philippines", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "summaryDescription" : "Senior AI Solutions Developer at Sourcefit", "createdAt" : "2026-06-15T22:11:16.531", "lastUpdated" : "2026-06-16T06:41:49.762", "ingestTimestamp" : "2026-06-15T22:11:16.531", "mongoId" : "6a3058bdf292fd229cf43fd6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c957074d8ee00a098d18d", "title" : "Senior Oracle Integration Cloud Developer", "company" : "MSG Entertainment Holdings, LLC", "industry" : "Hospitality", "salary" : { "min" : 96000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T12:50:33.025", "fingerprint" : "0ef2a538a69618ec2dc8643409b834570f37b92c328cf4041cdcaf781b3aa1b3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://msgentertainment.com/job/5159783007?gh_jid=5159783007", "externalId" : "5159783007", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Oracle Integration Cloud, OIC, ICS, REST, SOAP, XML, JSON, XSLT, XPath, SQL, PL/SQL, ERP Cloud, HCM Cloud, FTP, File Server, Database", "professionalSkills" : [ "Integration development", "Data mapping", "Data transformation", "Business process workflows" ], "hardSkillsList" : [ "Integration architecture", "Error handling", "Audit logging", "Data mapping", "Data transformation", "Business process design", "Performance tuning", "Security concepts" ], "hardSkills" : [ { "name" : "Integration architecture", "level" : "intermediate" }, { "name" : "Error handling", "level" : "intermediate" }, { "name" : "Audit logging", "level" : "intermediate" }, { "name" : "Data mapping", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Business process design", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Security concepts", "level" : "intermediate" } ], "majorSkills" : "Oracle Integration Cloud, Integration development, Data transformation", "majorSkillsList" : [ "Oracle Integration Cloud", "Integration development", "Data transformation" ], "coreResponsibilities" : "Design integrations using OIC, Develop integrations using OIC, Implement integrations using OIC, Support integrations using OIC, Build Scheduled Orchestrations, Maintain Scheduled Orchestrations, Develop App-Driven Orchestrations, Configure OIC adapters, Utilize OIC adapters, Design Global Error Handling Framework, Implement Global Error Handling Framework, Develop Audit and Logging Framework, Maintain Audit and Logging Framework, Perform data mappings, Perform data transformations, Leverage OIC Process Builder, Design business process workflows, Monitor integration performance, Tune mappings, Tune orchestration patterns, Tune connectivity agent configurations, Contribute to documentation, Contribute to runbooks, Support knowledge-sharing practices", "teamCollaboration" : "Cross-functional teams; Business stakeholders; Technical stakeholders; Functional stakeholders", "domainKnowledge" : "Oracle ERP integrations; Oracle HCM integrations; Enterprise ecosystem; Integration architectures; Real-time integration; Scheduled integration", "domainList" : [ "oracle-erp-integrations", "oracle-hcm-integrations", "enterprise-ecosystem", "integration-architectures", "real-time-integration", "scheduled-integration" ], "domainSpecificKnowledge" : [ "Oracle ERP integrations", "Oracle HCM integrations", "Enterprise ecosystem", "Integration architectures", "Real-time integration", "Scheduled integration" ], "toolProficiency" : [ "Oracle Integration Cloud", "OIC", "ICS", "BI Publisher" ], "documentationSkills" : "Integration design documentation; Runbooks", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Troubleshooting skills", "qualificationsBasic" : "5+ years of related experience, Bachelor's degree or equivalent, 3+ years OIC/ICS experience, Proficiency with Web Services, Deep understanding of FBDI, HDL, BIP, Expert-level XSLT knowledge, Solid understanding of security concepts, Proficiency in SQL and PL/SQL", "qualificationsPreferred" : "Experience with VBCS a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Madison Square Garden Entertainment Corp. (MSG Entertainment) is a leader in live entertainment, delivering unforgettable experiences while forging deep connections with diverse and passionate audiences. The Company’s portfolio includes a collection of world-renowned venues – New York’s Madison Square Garden, Infosys Theater at Madison Square Garden, Radio City Music Hall, and Beacon Theatre; and The Chicago Theatre – that showcase a broad array of sporting events, concerts, family shows, and special events for millions of guests annually. In addition, the Company features the original production, the Christmas Spectacular Starring the Radio City Rockettes, which has been a holiday tradition for more than 90 years. More information is available at www.msgentertainment.com. Who are we hiring: We are seeking a highly skilled Senior Oracle Integration Cloud (OIC) Developer to design, develop, implement, and support complex integration solutions across our enterprise ecosystem. This role is responsible for developing integrations and ensuring seamless, secure data flow through both scheduled and real-time integration architectures. The ideal candidate will have extensive experience building robust, scalable integration frameworks, including standardized error handling and centralized auditing, to ensure integrations are resilient, traceable, and efficient. What will you do? Provide exceptional experiences for our guests, partners, and team members, including by adhering to our appearance and presentation guidelines while on-site. Design, develop, implement, and support end‑to‑end integrations using Oracle Integration Cloud (OIC – Gen 3). Build and maintain Scheduled Orchestrations for bulk and batch data processing scenarios. Develop App‑Driven Orchestrations to support real‑time, event‑based, and API‑triggered integrations. Configure and utilize a wide range of OIC adapters, including ERP Cloud, HCM Cloud, FTP, REST, SOAP, File Server, and Database adapters. Design and implement a reusable Global Error Handling Framework to standardize fault management across integrations. Develop and maintain a centralized Audit and Logging Framework to ensure integration visibility, monitoring, and ease of troubleshooting. Perform advanced data mappings and transformations using XSLT, XPath functions, and OIC Lookups to support complex business logic between disparate systems. Leverage OIC Process Builder to design business process workflows, including human‑in‑the‑loop approvals. Monitor integration performance and proactively tune mappings, orchestration patterns, and connectivity agent configurations to support high-volume data loads. Collaborate closely with functional, technical, and business stakeholders to ensure integration solutions align with enterprise architecture standards and business objectives. Contribute to integration design documentation, runbooks, and knowledge-sharing practices to support team scalability and operational continuity. What do you need to succeed? 5+ years of related experience. Bachelor’s degree, or equivalent combination of education and experience. Experience in middleware or enterprise integration, with at least 3+ years of hands‑on experience developing integrations using Oracle Integration Cloud (OIC / ICS). Strong proficiency with Web Services technologies, including REST, SOAP, XML, and JSON. Deep understanding of FBDI, HDL, and BI Publisher (BIP) for Oracle ERP and Oracle HCM integrations. Expert‑level knowledge of XSLT for complex transformation logic and advanced data mappings. Solid understanding of integration security concepts, including OAuth, SSL certificates, and basic/header‑based authentication mechanisms. Proficiency in SQL and PL/SQL for data analysis, validation, and troubleshooting. Experience or familiarity with Visual Builder Cloud Service (VBCS) is considered a plus. Strong analytical, problem‑solving, and troubleshooting skills with a high level of attention to detail. Excellent communication skills and the ability to work effectively with cross‑functional technical and business teams. #LI- Onsite Pay Range $96,000—$190,000 USD At MSG, we recognize the importance of upskilling employees’ talents and strengths so they can drive their careers forward. We are proud to offer a robust set of tools and resources to help employees understand their interests and purpose, harness their talents and obtain the skills they need to reach the next step in their careers. Growth and longevity for our employees are top priorities here. We value diversity and are looking for extraordinary employees of all backgrounds! MSG is an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, sexual and reproductive health choices, national origin, citizenship, age, genetic information, disability, or veteran status. MSG complies with all applicable federal, state, and local laws governing nondiscrimination, including considering requests for reasonable accommodations as required.", "summaryDescription" : "Senior Oracle Integration Cloud Developer at MSG Entertainment Holdings, LLC. Skills: Oracle Integration Cloud, Integration development, Data transformation. Design integrations using OIC. Develop integrations using OIC", "postedDate" : "2026-06-14T04:23:38.894", "createdAt" : "2026-06-14T04:23:38.894", "lastUpdated" : "2026-06-15T12:50:33.025", "ingestTimestamp" : "2026-06-14T04:23:38.894", "mongoId" : "6a2c957074d8ee00a098d18d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 96000, "salaryAnnualMax" : 190000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Integration architecture", "Error handling", "Audit logging", "Data mapping", "Data transformation", "Business process design", "Performance tuning", "Security concepts", "Oracle Integration Cloud", "Integration development", "Business process workflows", "Oracle ERP integrations", "Oracle HCM integrations", "Enterprise ecosystem", "Integration architectures", "Real-time integration", "Scheduled integration", "OIC", "ICS", "BI Publisher" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "68b706967fc9a711f0f6ee85", "title" : "Senior Specialist SA, AI/ML", "company" : "Amazon Web Services Japan GK", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 1.2E7, "max" : 1.8E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Specialist SA, AI/ML in Tokyo, Japan, adjusted for seniority and company size within the technology industry." }, "location" : "Tokyo, JPN", "locations" : [ "Tokyo, JPN" ], "timestamp" : "2026-06-15T10:53:04.750", "fingerprint" : "dd8f47df147fa594b4587855c29d4b962dec1fa6da7bbf5c10e70e9e454fc47e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3069875/apply", "externalId" : "504f2e87-1d0c-44e1-a857-6f19f11d305c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, ML, AWS", "professionalSkills" : [ "System development", "Service implementation", "Solution architecture" ], "hardSkillsList" : [ "Machine learning", "Cloud technologies" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Cloud technologies", "level" : "intermediate" } ], "majorSkills" : "AI/ML, Cloud computing, Solutions architecture", "majorSkillsList" : [ "AI/ML", "Cloud computing", "Solutions architecture" ], "coreResponsibilities" : "Advocate AI/ML value on AWS, Address AI/ML challenges, Collaborate with customer teams, Create reference architectures, Develop best practices, Share information externally, Host internal study sessions, Gather new AWS service info, Organize new AWS feature info, Propose solutions to customers, Keep up with ML technologies, Track industry trends, Identify AWS actions, Lead AWS initiatives, Provide customer feedback, Contribute to product development, Collaborate with global teams, Participate in company initiatives, Expand coverage areas", "teamCollaboration" : "Customer-facing teams; Account managers; Other SAs; Global teams; Product development teams", "domainKnowledge" : "AI/ML workloads; Cloud technologies; Machine learning", "domainList" : [ "ai-ml-workloads", "cloud-technologies", "machine-learning" ], "domainSpecificKnowledge" : [ "AI/ML workloads", "Cloud technologies", "Machine learning" ], "communicationSkills" : "Customer communication; Explain technologies", "documentationSkills" : "Reference architectures; Best practices", "continuousLearning" : "Continuous skill development; Learn cloud knowledge; Learn new technologies; Learn AWS services", "problemSolvingSkills" : "Problem resolution", "qualificationsBasic" : "7+ years AI/ML experience, Customer communication skills, Explain advanced technologies, Work across organizations, Continuous learning habit, English reading/writing", "qualificationsPreferred" : "ML model development experience, Distributed training experience, Commercial systems ML experience, Define business challenges AI/ML", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "機械学習担当スペシャリストソリューションアーキテクト (Specialist SA, AI/ML) はAmazon Web Services(AWS)のソリューションアーキテクト(SA)チームの一員として活動します。チームにおいてAI/MLを中心としたワークロードに深い知見をもつ専門家として、様々なお客様のAI/ML技術を活用した取り組みを、クラウドのメリットを最大限活用する形で支援し、ビジネス面や技術面の課題解決をリードすることでお客様に貢献していきます。 AI/ML技術は大変注目を集めている分野であり、お客様も高い興味や期待を持っています。このポジションのミッションは、AI/ML技術の活用に取り組むお客様の技術課題・ビジネス課題を解決することを通じて、より多くのお客様にAWSでAI/MLワークロードを実行していただけるようにすることです。機械学習モデルの開発に取り組むお客様にはそのための支援を、既存のモデルを活用することによる価値創造を目指すお客様にはそれに適した支援を提供します。また、イベントやウェブセミナーでの登壇をはじめとする対外的な情報発信に携わるチャンスもあります。 AWSのクラウド技術はお客様のフィードバックやご要望に基づき日々進化を続けています。AWSがお客様に提供するサービスは多岐にわたります。そのため、入社後も最新技術やトレンドを学び続けることが必要不可欠です。そのため、このポジションに応募する時点ではAWSやクラウド技術を身につけていることは必須ではありません。継続的なスキルアップの一環として、入社後にクラウドに関する知識を身につけようとする意欲を重視します。 SAとしての活動を通じて、AI/ML技術に取り組むお客様のトレンドや、技術開発のトレンドに理解を深めるとともに、様々なAWSクラウドの技術に触れ、興味を持ち、学びを深めていくことを期待しています。それには、あなたが今まで培ってきた技術や経験が充分に活かされるはずです。多様なお客様と、先進的な技術の活用について議論を重ね、価値の実現に貢献していくことは、このポジションならではの経験になるはずです。 As a Machine Learning Specialist Solutions Architect (Specialist SA, AI/ML) at Amazon Web Services (AWS), you will be part of the Solutions Architect (SA) team. With deep expertise in AI/ML workloads, you will contribute to customers' initiatives leveraging AI/ML technologies by maximizing the benefits of the cloud, leading the resolution of business and technical challenges. AI/ML technologies are highly sought-after, and customers have high interest and expectations. Your mission is to enable more customers to run AI/ML workloads on AWS by solving their technical and business challenges in adopting AI/ML technologies. You will provide support for customers developing machine learning models or those seeking to create value by leveraging existing models. Additionally, you may have opportunities for external outreach, such as speaking at events and webinars. AWS cloud technologies continuously evolve based on customer feedback and requests. AWS offers a wide range of services, so it is essential to keep learning about the latest technologies and trends, even after joining. At the time of application, having AWS or cloud technology knowledge is not a prerequisite. Instead, we value your willingness to acquire cloud knowledge as part of your continuous skill development after joining. Through your activities as an SA, you will deepen your understanding of customer trends in AI/ML adoption and technology development trends, while gaining exposure to various AWS cloud technologies, sparking your interest, and deepening your learning. Your existing technical expertise and experience will undoubtedly be valuable. Engaging in discussions with diverse customers and contributing to the realization of value through advanced technology adoption will provide a unique experience in this role. Key job responsibilities 主に日本企業のお客様を対象に、AI/MLワークロードをAWSで実行する価値訴求や、それにまつわる課題解決をにないます。お客様に向けた活動は、そのお客様を担当する営業担当者・他チームのSAなどからなるお客様担当チームと連携しておこないます。リファレンスアーキテクチャ、ベストプラクティス、その他のコンテンツを作成し、情報共有を行います。社外に向けたセミナーで共有することもあれば、社内向けの勉強会を主催したり、内部向けに資料共有という形を取ることもあります。 AWSの新サービスや新機能についての情報を収集・整理し、お客様に提案可能な体制を整えます。加えて、日進月歩の機械学習技術についてキャッチアップを継続するとともに、業界や世の中のトレンドをキャッチし、AWSとして取るべきアクションがあれば声を上げ、時にはその実行をリードします。お客様の声をAWSの製品開発チームなどにフィードバックし、お客様にとって最良のサービスを提供するAWSの取り組みに貢献します。また、グローバルチームと連携しつつ全社的な取り組みに参画することもあります。ご自身の自信のある領域を軸とした日々の業務を通じて経験を積み、徐々に他の領域についてもカバー範囲を広げられるよう取り組みを続けます。 You will primarily engage with Japanese customers, advocating the value of running AI/ML workloads on AWS and addressing related challenges. You will collaborate with customer-facing teams, including account managers and other SAs, to conduct customer-facing activities. You will create reference architectures, best practices, and other content, sharing information through external seminars, internal study sessions, or internal document sharing. You will gather and organize information about new AWS services and features, ensuring readiness to propose solutions to customers. Additionally, you will continuously keep up with the rapidly evolving machine learning technologies and industry trends, raising your voice and sometimes leading initiatives on actions AWS should take. You will provide customer feedback to AWS product development teams, contributing to AWS's efforts to deliver optimal services for customers. You may also collaborate with global teams and participate in company-wide initiatives. Starting with your areas of expertise, you will gradually expand your coverage through daily work and experience accumulation. About the team 私たちはチャレンジャーです。多様なお客様がAWSを使う理由は、また多様であり、これをサポートするために決まったやり方は存在しません。私たちはお客様に気づきを与え、常識を覆す原動力となるべく、常にチャレンジを繰り返しながら学習し、より最適な方法を探るよう活動しています。私たちは多様なお客様を対応するため、多様なバックグランドを持つメンバーが集まり、それぞれの強みを活かして活動しつつ、相互に影響し合うことで学びを継続しています。入社後のメンタリング、マネージャとの定期的な1on1、チームでの定期的な活動の振り返り、社内の他のSAらとの意見交換などを通じて、新しいスキルを学ぶこと、成長していくことをサポートしています。私たちは技術が好きです。AWSはもちろん、テクノロジー全般に関する健全な好奇心を持ち、チームで議論します。 We are challengers. The reasons why diverse customers use AWS are also diverse, and there is no set way to support this. We continue to learn by constantly challenging ourselves and exploring more optimal ways to provide insights and drive unique thinking for our customers. To serve our diverse customers, we bring together members with diverse backgrounds, leveraging each other's strengths while mutually influencing and continuing to learn from one another. Through post-hire mentoring, regular 1-on-1s with managers, periodic team retrospectives, and exchanging ideas with other SAs within the company, we support learning new skills and growing. We love technology. We have a healthy curiosity about AWS and technology in general, and discuss it as a team. AWSについて: https://aws.amazon.com/jp/careers/#how_we_work Amazon は男女雇用機会均等法を順守しています。人種、出身国、性別、性的指向、障がい、年齢、その他の属性によって差別することなく、平等に採用選考の機会を提供しています。障がいをお持ちの方は、以下をご覧ください。https://www.amazon.jobs/en/disability/jp/ #AWSJAPAN #aws-jp-sa-ap Basic Qualifications: - AI/ML技術を利用した研究開発、サービス実装、システム開発といった業務に関する7年以上の経験(Over 7 years of experience in research and development, service implementation, and system development utilizing AI/ML technologies.) - お客様と的確にコミュニケーションができる能力、また高度な技術を平易な言葉で説明できる能力(Ability to communicate effectively with customers and explain advanced technologies in plain language) - 社内外の組織を自ら横断して働くことができる能力(Ability to work across internal and external organizations independently.) - 日々進化するクラウド技術や、自身にとって新しい技術領域について継続的に学ぶ好奇心と学習の習慣(Curiosity and habit of continuous learning about evolving cloud technologies and new technology domains) - 読み書きに支障がないレベルの英語力。流ちょうなものでなくとも、英語での会話に抵抗感がないこと(English proficiency for reading and writing, and willingness to engage in conversations without hesitation, even if not fluent) Preferred Qualifications: - 機械学習モデルの開発や、大規模モデルの分散トレーニングの実践経験(Experience in developing machine learning models, and distributed training of large-scale models) - 機械学習モデルを組み込んだ商用システムの開発・運用経験(Experience in developing and operating commercial systems incorporating machine learning models) - 解決すべきビジネス課題を定義し、AI/ML技術によって解決する事を目的としたプロジェクトの経験(Experience in defining business challenges to be solved, with the aim of solving them using AI/ML technologies) 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" : "Senior Specialist SA, AI/ML at Amazon Web Services Japan GK. Skills: AI/ML, Cloud computing, Solutions architecture. Advocate AI/ML value on AWS. Address AI/ML challenges", "postedDate" : "2026-06-14T01:45:06.885", "createdAt" : "2026-06-14T01:45:06.885", "lastUpdated" : "2026-06-15T10:53:04.750", "ingestTimestamp" : "2026-06-14T01:45:06.885", "mongoId" : "68b706967fc9a711f0f6ee85", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3069875/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Machine learning", "Cloud technologies", "AI/ML", "Cloud computing", "Solutions architecture", "System development", "Service implementation", "Solution architecture", "AI/ML workloads" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3071f3f292fd229cffb659", "title" : "Python Engineer (AI/ML)", "company" : "EVERSANA", "industry" : "Pharmaceuticals", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Python Engineer (AI/ML) in Pune, India, adjusted for the healthcare industry and company size." }, "location" : "Pune, MH, IN", "locations" : [ "Pune", "MH", "IN" ], "timestamp" : "2026-06-16T12:34:28.851", "fingerprint" : "893344570b4e50f55fcccb866dc65d3ca352d7d2e67d5a03780d52081b9deff5", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/EVERSANA1/744000132221719-python-engineer-ai-ml-", "externalId" : "744000132221719", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, C++, Java, Go, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Large Language Models, PyTorch, TensorFlow, JAX, Distributed training, GPU computing, Cloud platforms, Kubernetes, Docker, CI/CD, Data pipelines", "professionalSkills" : [ "System design", "Algorithm design" ], "hardSkillsList" : [ "Distributed systems", "Large-scale systems" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Large-scale systems", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Deep Learning, Large Language Models", "majorSkillsList" : [ "Machine Learning", "Deep Learning", "Large Language Models" ], "coreResponsibilities" : "Design and implement machine learning models, Develop and deploy deep learning systems, Build and maintain large-scale AI infrastructure, Research and apply state-of-the-art AI techniques, Collaborate with cross-functional teams, Contribute to the development of AI products, Optimize AI models for performance and scalability, Stay up-to-date with AI research and trends", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Distributed systems; Large-scale systems; Machine learning; Deep learning; Natural language processing; Computer vision; Reinforcement learning; Large language models", "domainList" : [ "distributed-systems", "large-scale-systems", "machine-learning", "deep-learning", "natural-language-processing", "computer-vision", "reinforcement-learning", "large-language-models" ], "domainSpecificKnowledge" : [ "Distributed systems", "Large-scale systems", "Machine learning", "Deep learning", "Natural language processing", "Computer vision", "Reinforcement learning", "Large language models" ], "toolProficiency" : [ "PyTorch", "TensorFlow", "JAX", "Kubernetes", "Docker" ], "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "5+ years of experience, Bachelor's degree in Computer Science, Master's degree in Computer Science, PhD in Computer Science, Experience with Python, Experience with C++, Experience with Java, Experience with Go, Experience with distributed systems, Experience with large-scale systems", "qualificationsPreferred" : "Experience with machine learning, Experience with deep learning, Experience with natural language processing, Experience with computer vision, Experience with reinforcement learning, Experience with large language models, Experience with PyTorch, Experience with TensorFlow, Experience with JAX, Experience with distributed training, Experience with GPU computing, Experience with cloud platforms, Experience with Kubernetes, Experience with Docker, Experience with CI/CD, Experience with data pipelines, Experience with large datasets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. We are looking for a Python AI/ML Engineer with hands-on experience in Machine Learning, Large Language Models (LLMs), and backend integration. The ideal candidate will work on building intelligent systems such as chatbots, AI assistants, data-driven APIs, and automation solutions using modern AI/ML frameworks and LLM technologies. Key Responsibilities * Design, develop, and maintain Python-based AI/ML applications * Build and integrate LLM-powered solutions (chatbots, document Q&A, summarization, intent detection) * Implement ML pipelines: data preprocessing, training, evaluation, and inference * Develop and optimize REST APIs using Fast API / Flask * Integrate AI solutions with SQL databases * Work with vector databases (FAISS, Chroma, Pinecone) * Optimize model performance, latency, and cost * Handle prompt engineering and RAG pipelines * Write clean, testable, and well-documented code ## Qualifications Required Skills Programming & Backend * Strong proficiency in Python * Experience with Fast API / Flask * SQL and SQL Alchemy AI / ML * Machine Learning fundamentals * Hands-on experience with LLMs (OpenAI, Azure OpenAI, Hugging Face) * NLP tasks: embeddings, classification, similarity search * Prompt engineering experience Good to Have * RAG architecture experience * Model deployment on CPU/GPU * Docker and cloud basics * On-prem AI deployment experience * LLM fine-tuning knowledge Soft Skills * Problem-solving mindset * Good communication skills * Ability to learn new technologies quickly * Team collaboration skills ## Additional Information OUR CULTURAL BELIEFS: Patient Minded I act with the patient’s best interest in mind. Client Delight I own every client experience and its impact on results. Take Action I am empowered and empower others to act now. Grow Talent I own my development and invest in the development of others. Win Together I passionately connect with anyone, anywhere, anytime to achieve results. Communication Matters I speak up to create transparent, thoughtful and timely dialogue. Embrace Diversity I create an environment of awareness and respect. Always Innovate I am bold and creative in everything I do. Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility. Follow us on [LinkedIn](https://www.linkedin.com/company/eversana/) | [Twitter](https://twitter.com/EVERSANAcompany)", "summaryDescription" : "Python Engineer (AI/ML) at EVERSANA. Skills: Machine Learning, Deep Learning, Large Language Models. Design and implement machine learning models. Develop and deploy deep learning systems", "postedDate" : "2026-06-15T14:39:56.000", "createdAt" : "2026-06-16T01:39:41.034", "lastUpdated" : "2026-06-16T12:34:28.851", "ingestTimestamp" : "2026-06-16T01:39:41.034", "mongoId" : "6a3071f3f292fd229cffb659", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Large-scale systems", "Machine Learning", "Deep Learning", "Large Language Models", "System design", "Algorithm design", "Machine learning", "Deep learning", "Natural language processing", "Computer vision", "Reinforcement learning", "Large language models", "PyTorch", "TensorFlow", "JAX", "Kubernetes", "Docker" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30623cf292fd229cf99656", "title" : "Python Engineer (AI/ML)", "company" : "EVERSANA", "industry" : "Pharmaceuticals", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Python Engineer (AI/ML) in Pune, India, adjusted for the healthcare industry and company size." }, "location" : "Pune, MH, IN", "locations" : [ "Pune", "MH", "IN" ], "timestamp" : "2026-06-16T10:15:09.669", "fingerprint" : "ce5b26b0f8600157b3f0169dbdcfca8721a24bd40420dbc850e285dc30c2a071", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/EVERSANA1/744000132221719-python-engineer-ai-ml-", "externalId" : "744000132221719", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Cloud platforms, Distributed systems, Machine learning, Deep learning, Large language models, MLOps", "professionalSkills" : [ "System design", "Algorithm design" ], "hardSkillsList" : [ "Algorithm design", "System design" ], "hardSkills" : [ { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" } ], "majorSkills" : "AI, Machine Learning, Python", "majorSkillsList" : [ "AI", "Machine Learning", "Python" ], "coreResponsibilities" : "Design and implement AI/ML models, Develop and deploy machine learning solutions, Build and maintain scalable AI infrastructure, Collaborate with cross-functional teams, Research and apply cutting-edge AI techniques, Optimize model performance, Ensure responsible AI development practices", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Artificial intelligence; Machine learning; Large language models; Deep learning", "domainList" : [ "artificial-intelligence", "machine-learning", "large-language-models", "deep-learning" ], "domainSpecificKnowledge" : [ "Artificial intelligence", "Machine learning", "Large language models", "Deep learning" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Stay current with AI research", "innovationCreativity" : "Research and apply cutting-edge AI techniques", "problemSolvingSkills" : "Troubleshoot model issues; Optimize model performance", "qualificationsBasic" : "5+ years of experience, Bachelor's degree in Computer Science, Experience with Python, Experience with cloud platforms, Experience with distributed systems", "qualificationsPreferred" : "Master's degree or PhD, Experience with large language models, Experience with deep learning frameworks, Experience with MLOps", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. We are looking for a Python AI/ML Engineer with hands-on experience in Machine Learning, Large Language Models (LLMs), and backend integration. The ideal candidate will work on building intelligent systems such as chatbots, AI assistants, data-driven APIs, and automation solutions using modern AI/ML frameworks and LLM technologies. Key Responsibilities * Design, develop, and maintain Python-based AI/ML applications * Build and integrate LLM-powered solutions (chatbots, document Q&A, summarization, intent detection) * Implement ML pipelines: data preprocessing, training, evaluation, and inference * Develop and optimize REST APIs using Fast API / Flask * Integrate AI solutions with SQL databases * Work with vector databases (FAISS, Chroma, Pinecone) * Optimize model performance, latency, and cost * Handle prompt engineering and RAG pipelines * Write clean, testable, and well-documented code ## Qualifications Required Skills Programming & Backend * Strong proficiency in Python * Experience with Fast API / Flask * SQL and SQL Alchemy AI / ML * Machine Learning fundamentals * Hands-on experience with LLMs (OpenAI, Azure OpenAI, Hugging Face) * NLP tasks: embeddings, classification, similarity search * Prompt engineering experience Good to Have * RAG architecture experience * Model deployment on CPU/GPU * Docker and cloud basics * On-prem AI deployment experience * LLM fine-tuning knowledge Soft Skills * Problem-solving mindset * Good communication skills * Ability to learn new technologies quickly * Team collaboration skills ## Additional Information OUR CULTURAL BELIEFS: Patient Minded I act with the patient’s best interest in mind. Client Delight I own every client experience and its impact on results. Take Action I am empowered and empower others to act now. Grow Talent I own my development and invest in the development of others. Win Together I passionately connect with anyone, anywhere, anytime to achieve results. Communication Matters I speak up to create transparent, thoughtful and timely dialogue. Embrace Diversity I create an environment of awareness and respect. Always Innovate I am bold and creative in everything I do. Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility. Follow us on [LinkedIn](https://www.linkedin.com/company/eversana/) | [Twitter](https://twitter.com/EVERSANAcompany)", "summaryDescription" : "Python Engineer (AI/ML) at EVERSANA. Skills: AI, Machine Learning, Python. Design and implement AI/ML models. Develop and deploy machine learning solutions", "postedDate" : "2026-06-15T14:39:56.000", "createdAt" : "2026-06-16T00:16:28.703", "lastUpdated" : "2026-06-16T10:15:09.669", "ingestTimestamp" : "2026-06-16T00:16:28.703", "mongoId" : "6a30623cf292fd229cf99656", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Algorithm design", "System design", "AI", "Machine Learning", "Python", "Artificial intelligence", "Machine learning", "Large language models", "Deep learning" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3089caf292fd229c094d7d", "title" : "Python ML/AI Engineer", "company" : "DOTSOFT SA", "industry" : "Information Technology And Services", "salary" : { "min" : 38000.0, "max" : 55000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Python ML/AI Engineer in the Technology industry in Pilea, Greece, adjusted for seniority and full-time employment." }, "location" : "Pilea, GR", "locations" : [ "Pilea", "GR" ], "timestamp" : "2026-06-16T11:35:00.625", "fingerprint" : "b46faa998ac8e53208bea2181d35324dfce027d92143157e84b9e2d5f20135a2", "source" : "smartrecruiters", "language" : "el", "applyUrl" : "https://jobs.smartrecruiters.com/DOTSOFTSA/744000132218589-python-ml-ai-engineer", "externalId" : "744000132218589", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pilea", "state" : "Thessaloniki", "country" : "Greece", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.5850904,23.0356579" } ], "locationText" : "Pilea, Thessaloniki, Greece", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Machine Learning, Deep Learning, AI, Generative AI, Large Language Models, Retrieval-Augmented Generation, Vector databases, Embeddings, Semantic search, MLOps, Scikit-learn, Pandas, NumPy, PyTorch, TensorFlow, SQL, APIs, Docker, Cloud platforms, OpenAI, Anthropic, Llama, Mistral, LangChain, LlamaIndex, Qdrant, Weaviate, Pinecone, Pgvector", "professionalSkills" : [ "Data processing", "System design", "Technology strategy" ], "hardSkillsList" : [ "Machine Learning", "Deep Learning", "Data pipelines", "Model evaluation", "AI Services", "Generative AI", "Large Language Models", "Retrieval-Augmented Generation", "Vector databases", "Embeddings", "Semantic search", "MLOps", "Deployment", "Monitoring", "API development" ], "hardSkills" : [ { "name" : "Machine Learning", "level" : "intermediate" }, { "name" : "Deep Learning", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "AI Services", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Large Language Models", "level" : "intermediate" }, { "name" : "Retrieval-Augmented Generation", "level" : "intermediate" }, { "name" : "Vector databases", "level" : "intermediate" }, { "name" : "Embeddings", "level" : "intermediate" }, { "name" : "Semantic search", "level" : "intermediate" }, { "name" : "MLOps", "level" : "intermediate" }, { "name" : "Deployment", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI, Python, Generative AI", "majorSkillsList" : [ "Machine Learning", "AI", "Python", "Generative AI" ], "coreResponsibilities" : "Develop ML models, Optimize ML models, Maintain ML models, Design data pipelines, Implement data pipelines, Develop AI services, Maintain AI services, Design Generative AI solutions, Develop Generative AI solutions, Integrate Generative AI solutions, Develop RAG applications, Utilize vector databases, Utilize embeddings, Utilize semantic search, Transition solutions to production, Monitor model performance, Optimize model performance, Deploy models, Monitor models, Ensure solution quality, Ensure solution reliability, Ensure solution scalability, Evaluate new technologies, Evaluate new tools, Evaluate new methodologies, Participate in technical design, Formulate technology strategy", "teamCollaboration" : "Data Science teams; Software Engineering teams; R&D teams", "domainKnowledge" : "Artificial Intelligence; Machine Learning; Data Analytics; Cloud Computing; Generative AI; Large Language Models; MLOps", "domainList" : [ "artificial-intelligence", "machine-learning", "data-analytics", "cloud-computing", "generative-ai", "large-language-models", "mlops" ], "domainSpecificKnowledge" : [ "Artificial Intelligence", "Machine Learning", "Data Analytics", "Cloud Computing", "Generative AI", "Large Language Models", "MLOps" ], "toolProficiency" : [ "Scikit-learn", "Pandas", "NumPy", "PyTorch", "TensorFlow", "Docker", "Qdrant", "Weaviate", "Pinecone", "Pgvector", "OpenAI", "Anthropic", "Llama", "Mistral", "LangChain", "LlamaIndex" ], "continuousLearning" : "Professional development; Continuous education", "innovationCreativity" : "Innovative digital solutions; Advanced AI solutions; Cutting-edge projects", "qualificationsBasic" : "3+ years experience ML/AI, Proficient in Python, Experience with Scikit-learn, Experience with Pandas, Experience with NumPy, Experience with PyTorch, Experience with TensorFlow, Experience ML model development, Experience ML model evaluation, Knowledge of SQL, Data management knowledge, Experience developing APIs, Ability to collaborate", "qualificationsPreferred" : "MSc in AI/ML, Experience with LLMs, Experience with LangChain, Experience with LlamaIndex, Experience with vector databases, Knowledge of MLOps tools, Knowledge of MLOps practices, Experience with Docker, Experience with cloud platforms, Participation in AI research projects, Participation in European AI projects", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Η DOTSOFT αναπτύσσει καινοτόμες ψηφιακές λύσεις αξιοποιώντας τεχνολογίες Τεχνητής Νοημοσύνης, Data Analytics και Cloud Computing. Στο πλαίσιο της συνεχούς ανάπτυξής της, αναζητά έναν Python ML/AI Engineer για την υλοποίηση προηγμένων λύσεων AI και Machine Learning σε έργα εθνικής και ευρωπαϊκής εμβέλειας. * Ανάπτυξη, βελτιστοποίηση και συντήρηση μοντέλων Machine Learning και Deep Learning για την κάλυψη επιχειρησιακών και ερευνητικών αναγκών. * Σχεδιασμός και υλοποίηση pipelines επεξεργασίας δεδομένων, εκπαίδευσης, αξιολόγησης και παραγωγικής λειτουργίας μοντέλων. * Ανάπτυξη και συντήρηση υπηρεσιών Τεχνητής Νοημοσύνης (AI Services) με χρήση Python και σύγχρονων frameworks. * Σχεδιασμός, ανάπτυξη και ενσωμάτωση λύσεων Generative AI και Large Language Models (LLMs) σε παραγωγικά πληροφοριακά συστήματα. * Ανάπτυξη εφαρμογών Retrieval-Augmented Generation (RAG) με αξιοποίηση vector databases, embeddings και τεχνικών semantic search. * Συνεργασία με ομάδες Data Science, Software Engineering και Έρευνας & Ανάπτυξης για τη μετάβαση λύσεων από στάδιο proof-of-concept σε παραγωγική λειτουργία. * Παρακολούθηση, αξιολόγηση και βελτιστοποίηση της απόδοσης μοντέλων μέσω διαδικασιών MLOps, deployment και monitoring. * Διασφάλιση της ποιότητας, αξιοπιστίας και επεκτασιμότητας των λύσεων Τεχνητής Νοημοσύνης. * Αξιολόγηση νέων τεχνολογιών, εργαλείων και μεθοδολογιών στον τομέα της Τεχνητής Νοημοσύνης και της Μηχανικής Μάθησης. * Συμμετοχή στον τεχνικό σχεδιασμό λύσεων και στη διαμόρφωση της τεχνολογικής στρατηγικής της ομάδας και της εταιρείας. ## Qualifications Προσόντα * Πτυχίο ΑΕΙ/ΤΕΙ στην Πληροφορική, Μηχανική Υπολογιστών, Data Science ή συναφή τομέα. * MSc σε Artificial Intelligence, Machine Learning ή σχετικό αντικείμενο θα θεωρηθεί επιπλέον προσόν. * 3+ χρόνια εμπειρίας σε ανάπτυξη λύσεων Machine Learning ή AI. * Πολύ καλή γνώση Python. * Εμπειρία με βιβλιοθήκες όπως Scikit-learn, Pandas, NumPy και PyTorch ή TensorFlow. * Εμπειρία στην ανάπτυξη και αξιολόγηση ML μοντέλων. * Γνώση SQL και διαχείρισης δεδομένων. * Εμπειρία στην ανάπτυξη APIs για AI υπηρεσίες. * Ικανότητα συνεργασίας σε διεπιστημονικές ομάδες. Επιθυμητά προσόντα * Εμπειρία με LLMs (OpenAI, Anthropic, Llama, Mistral κ.ά.). * Γνώση LangChain, LlamaIndex ή παρόμοιων frameworks. * Εμπειρία με vector databases (Qdrant, Weaviate, Pinecone, pgvector). * Γνώση MLOps εργαλείων και πρακτικών. * Εμπειρία με Docker και cloud πλατφόρμες. * Συμμετοχή σε ερευνητικά ή ευρωπαϊκά έργα AI. ## Additional Information Προσφέρεται * Ανταγωνιστικό πακέτο αποδοχών * Εργασία σε φιλικό & δυναμικό περιβάλλον * Συνεχής εκπαίδευση & δυνατότητα επαγγελματικής ανάπτυξης * Συμμετοχή σε καινοτόμα και υψηλής τεχνολογίας projects", "summaryDescription" : "Python ML/AI Engineer at DOTSOFT SA. Skills: Machine Learning, AI, Python, Generative AI. Develop ML models. Optimize ML models", "postedDate" : "2026-06-15T14:30:06.000", "createdAt" : "2026-06-16T01:43:02.724", "lastUpdated" : "2026-06-16T11:35:00.625", "ingestTimestamp" : "2026-06-16T01:43:02.724", "mongoId" : "6a3089caf292fd229c094d7d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Machine Learning", "Deep Learning", "Data pipelines", "Model evaluation", "AI Services", "Generative AI", "Large Language Models", "Retrieval-Augmented Generation", "Vector databases", "Embeddings", "Semantic search", "MLOps", "Deployment", "Monitoring", "API development", "AI", "Python", "Data processing", "System design", "Technology strategy", "Artificial Intelligence", "Data Analytics", "Cloud Computing", "Scikit-learn", "Pandas", "NumPy", "PyTorch", "TensorFlow", "Docker", "Qdrant", "Weaviate", "Pinecone", "Pgvector", "OpenAI", "Anthropic", "Llama", "Mistral", "LangChain", "LlamaIndex" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c92ed74d8ee00a0986dfe", "title" : "Senior AI Algorithm Developer", "company" : "Xebia", "industry" : "Healthcare", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Algorithm Developer in Poland, adjusted for industry and seniority." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-15T22:41:50.516", "fingerprint" : "f25a11a110b246ee49c1288d48d4d8d8006e4283005ff35c3b048255b7eb3375", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/6012272004", "externalId" : "6012272004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Machine learning, Computer vision, Algorithm development, Python, Deep learning, Computational geometry, 3D image processing, 3D segmentation, 3D modeling, 3D measurement, 3D meshes, Volumetric imaging, PyTorch, NumPy, SciPy, VTK, AWS, Azure, GCP, Databricks, Snowflake, TypeScript, GenAI", "professionalSkills" : [ "Software solutions", "Model development", "Image processing", "Computational modeling", "Software engineering", "Algorithm optimization", "Algorithm validation", "Medical imaging", "Cardiac analysis", "Cardiac visualization", "Cardiac measurement", "3D anatomical modeling", "3D anatomical analysis", "Clinical workflows", "Medical innovation", "Engineering standards", "Development practices", "Quality processes", "Technical decisions", "SDLC" ], "hardSkillsList" : [ "Python development", "Computational geometry implementation", "Medical imaging processing", "3D data processing", "Segmentation", "Reconstruction", "Mesh handling", "Algorithm optimization", "Algorithm validation", "Scientific computing", "Visualization libraries" ], "hardSkills" : [ { "name" : "Python development", "level" : "intermediate" }, { "name" : "Computational geometry implementation", "level" : "intermediate" }, { "name" : "Medical imaging processing", "level" : "intermediate" }, { "name" : "3D data processing", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Reconstruction", "level" : "intermediate" }, { "name" : "Mesh handling", "level" : "intermediate" }, { "name" : "Algorithm optimization", "level" : "intermediate" }, { "name" : "Algorithm validation", "level" : "intermediate" }, { "name" : "Scientific computing", "level" : "intermediate" }, { "name" : "Visualization libraries", "level" : "intermediate" } ], "majorSkills" : "AI Algorithm Development, Medical Imaging, Deep Learning, 3D Image Processing", "majorSkillsList" : [ "AI Algorithm Development", "Medical Imaging", "Deep Learning", "3D Image Processing" ], "coreResponsibilities" : "Develop AI algorithms, Build segmentation pipelines, Maintain segmentation pipelines, Optimize segmentation pipelines, Build modeling pipelines, Maintain modeling pipelines, Optimize modeling pipelines, Build measurement pipelines, Maintain measurement pipelines, Optimize measurement pipelines, Design deep learning models, Train deep learning models, Validate deep learning models, Improve deep learning models, Work with medical imaging datasets, Develop computational geometry algorithms, Optimize computational geometry algorithms, Process 3D meshes, Analyze 3D meshes, Manipulate 3D meshes, Process volumetric imaging data, Analyze volumetric imaging data, Manipulate volumetric imaging data, Improve algorithm robustness, Improve algorithm accuracy, Improve algorithm scalability, Improve algorithm performance, Contribute to validation activities, Support evidence preparation, Participate in technical discussions, Support continuous improvement, Mentor team members", "teamCollaboration" : "Multidisciplinary teams; International teams; Product managers; Software engineers; Clinical experts; Regulatory teams; Technical stakeholders; Non-technical stakeholders", "projectManagementSkills" : [ "Agile software development" ], "domainKnowledge" : "Medical technology; Healthcare domain; Cardiac imaging; Clinical decision-making; AI-powered software; Medical imaging technologies; Cardiac analysis; Cardiac visualization; Cardiac measurement; 3D image processing; Deep learning; Computational modeling; Healthcare environment; Artificial intelligence; Medical imaging; Computational geometry; Software engineering; 3D anatomical modeling; 3D anatomical analysis; Clinical workflows; Medical innovation; Medical device development; Healthcare regulatory requirements; Medical imaging modalities; GenAI in SDLC", "domainList" : [ "medical-technology", "healthcare-domain", "cardiac-imaging", "clinical-decision-making", "ai-powered-software", "medical-imaging-technologies", "cardiac-analysis", "cardiac-visualization", "cardiac-measurement", "3d-image-processing", "deep-learning", "computational-modeling", "healthcare-environment", "artificial-intelligence", "medical-imaging", "computational-geometry", "software-engineering", "3d-anatomical-modeling", "3d-anatomical-analysis", "clinical-workflows", "medical-innovation", "medical-device-development", "healthcare-regulatory-requirements", "medical-imaging-modalities", "genai-in-sdlc" ], "domainSpecificKnowledge" : [ "Medical technology", "Healthcare domain", "Cardiac imaging", "Clinical decision-making", "AI-powered software", "Medical imaging technologies", "Cardiac analysis", "Cardiac visualization", "Cardiac measurement", "3D image processing", "Deep learning", "Computational modeling", "Healthcare environment", "Artificial intelligence", "Medical imaging", "Computational geometry", "Software engineering", "3D anatomical modeling", "3D anatomical analysis", "Clinical workflows", "Medical innovation", "Medical device development", "Healthcare regulatory requirements", "Medical imaging modalities", "GenAI in SDLC" ], "toolProficiency" : [ "PyTorch", "NumPy", "SciPy", "VTK", "Claude Code", "GitHub Copilot", "Cursor" ], "communicationSkills" : "Technical discussions; Fluent English", "continuousLearning" : "Knowledge sharing", "innovationCreativity" : "Innovative AI-powered software; Medical innovation; Emerging AI-driven practices; Agent-based workflows; Automation patterns; AI-augmented development", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Root cause analysis", "specialRequirements" : "Work permit required", "outcomesObjectives" : "Deliver robust solutions; Deliver accurate solutions; Support clinical workflows; Support medical innovation", "qualificationsBasic" : "Commercial experience in AI, Commercial experience in machine learning, Commercial experience in computer vision, Commercial experience in algorithm development, Python development skills, Experience building production-grade software, Hands-on experience with deep learning frameworks, Hands-on experience with model development, Understanding of computational geometry concepts, Practical implementation of computational geometry, Experience working with medical imaging technologies, Experience working with healthcare datasets, Practical experience processing medical imaging, Practical experience analyzing medical imaging, Experience with 3D data processing, Experience with segmentation, Experience with reconstruction, Experience with mesh handling, Experience optimizing algorithms, Experience validating algorithms, Analytical skills, Problem-solving skills, Ability to work within multidisciplinary teams, Ability to work within international teams, Experience working within Agile software development, Attention to quality, Attention to reliability, Attention to scientific rigor, Work from the European Union region, Work permit required", "qualificationsPreferred" : "Experience with TypeScript development, Exposure to AWS cloud services, Exposure to cloud-native development practices, Experience working within regulated healthcare, Experience working within medical device environments, Familiarity with medical device development standards, Familiarity with healthcare regulatory requirements, Experience working with major medical imaging vendors, Experience working with healthcare technology vendors, Experience working with medical device vendors, Fluent English communication skills, German language skills", "remoteFriendly" : true, "rawDescription" : "Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. About project: We are looking for a Senior AI Algorithm Developer to join a project delivered for our international client operating in the medical technology and healthcare domain. The client is focused on developing advanced cardiac imaging solutions that support clinical decision-making through innovative AI-powered software and medical imaging technologies. This role is a great opportunity to work on cutting-edge medical imaging platforms, contributing to the development of AI algorithms used in cardiac analysis, visualization, and measurement workflows. You will be involved in the design, implementation, optimization, and validation of advanced algorithms supporting 3D image processing, deep learning, and computational modeling in a highly specialized healthcare environment. The project combines artificial intelligence, medical imaging, computational geometry, and software engineering within a multidisciplinary team consisting of product specialists, engineers, clinical experts, and regulatory stakeholders. You will play a key role in delivering robust and accurate solutions that support critical clinical workflows and medical innovation. You will be: developing AI algorithms for advanced cardiac medical imaging platforms, build, maintain, and optimize 3D segmentation, modeling, and measurement pipelines, design, train, validate, and improve deep learning models for medical imaging applications, work with complex medical imaging datasets, including CT, MRI, and echocardiography data, develop and optimize computational geometry algorithms for 3D anatomical modeling and analysis, process, analyze, and manipulate 3D meshes and volumetric imaging data, collaborate closely with product managers, software engineers, clinical experts, and regulatory teams, improve algorithm robustness, accuracy, scalability, and performance across different clinical scenarios, contribute to validation activities and support the preparation of evidence required for clinical and regulatory processes, participate in technical discussions related to AI, computer vision, image analysis, and medical software development, support continuous improvement of engineering standards, development practices, and quality processes, depending on seniority, take ownership of technical areas, drive technical decisions, and mentor less experienced team members, Your profile: strong commercial experience in AI, machine learning, computer vision, or algorithm development roles, strong Python development skills with experience building production-grade software solutions, hands-on experience with deep learning frameworks and model development, strong understanding of computational geometry concepts and practical implementations, experience working with medical imaging technologies and healthcare datasets, practical experience processing and analyzing CT, MRI, echocardiography, or similar medical imaging modalities, strong experience with 3D data processing, segmentation, reconstruction, and mesh handling, experience optimizing and validating algorithms for accuracy, robustness, and performance, hands-on experience with PyTorch, NumPy, SciPy, VTK, or similar scientific computing and visualization libraries, strong analytical and problem-solving skills, ability to work effectively within multidisciplinary and international teams, excellent communication skills and ability to collaborate with both technical and non-technical stakeholders, experience working within Agile software development environments, strong attention to quality, reliability, and scientific rigor, Practical experience using AI-powered assistants (e. g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Work from the European Union region and a work permit are required. Nice to have: experience with TypeScript development, exposure to AWS cloud services and cloud-native development practices, experience working within regulated healthcare or medical device environments, familiarity with medical device development standards and healthcare regulatory requirements, experience working with major medical imaging, healthcare technology, or medical device vendors, fluent English communication skills, both written and spoken, German language skills are considered an advantage, Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. Interest in and familiarity with emerging AI-driven practices (e. g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision", "summaryDescription" : "Senior AI Algorithm Developer at Xebia. Skills: AI Algorithm Development, Medical Imaging, Deep Learning, 3D Image Processing. Develop AI algorithms. Build segmentation pipelines", "postedDate" : "2026-06-14T20:05:27.429", "createdAt" : "2026-06-14T20:05:27.429", "lastUpdated" : "2026-06-15T22:41:50.516", "ingestTimestamp" : "2026-06-14T20:05:27.429", "mongoId" : "6a2c92ed74d8ee00a0986dfe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Python development", "Computational geometry implementation", "Medical imaging processing", "3D data processing", "Segmentation", "Reconstruction", "Mesh handling", "Algorithm optimization", "Algorithm validation", "Scientific computing", "Visualization libraries", "AI Algorithm Development", "Medical Imaging", "Deep Learning", "3D Image Processing", "Software solutions", "Model development", "Image processing", "Computational modeling", "Software engineering", "Medical imaging", "Cardiac analysis", "Cardiac visualization", "Cardiac measurement", "3D anatomical modeling", "3D anatomical analysis", "Clinical workflows", "Medical innovation", "Engineering standards", "Development practices", "Quality processes", "Technical decisions", "SDLC", "Agile software development", "Medical technology", "Healthcare domain", "Cardiac imaging", "Clinical decision-making", "AI-powered software", "Medical imaging technologies", "3D image processing", "Deep learning", "Healthcare environment", "Artificial intelligence", "Computational geometry", "Medical device development", "Healthcare regulatory requirements", "Medical imaging modalities", "GenAI in SDLC", "PyTorch", "NumPy", "SciPy", "VTK", "Claude Code", "GitHub Copilot", "Cursor" ], "skillCount" : 56, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2ca47a74d8ee00a09b216c", "title" : "AI/ML Engineer", "company" : "Closure Technologies", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Senior AI/ML Engineer in Chantilly, United States, with adjustments for industry and company size." }, "location" : "Chantilly, Virginia, United States", "locations" : [ "Chantilly", "Virginia", "United States" ], "timestamp" : "2026-06-15T08:33:32.720", "fingerprint" : "13c0f0400ade2dd0cbce583c18cf4dca775921bd73b71161e1cbf9a6f3716b7f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/closure-tech/jobs/4255026009", "externalId" : "4255026009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chantilly", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8852190,-77.4486772" } ], "locationText" : "Chantilly, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, AI/ML, LLM, RAG, API, Postgres", "professionalSkills" : [ "Technical research", "Problem-solving", "Data organization", "Query performance", "System integration" ], "hardSkillsList" : [ "Retrieval-Augmented Generation", "Large Language Models", "API development", "Data storage optimization", "Postgres schema refinement", "Document processing", "Embedding generation", "Prompt assembly", "REST API interactions", "Data retrieval" ], "hardSkills" : [ { "name" : "Retrieval-Augmented Generation", "level" : "intermediate" }, { "name" : "Large Language Models", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Data storage optimization", "level" : "intermediate" }, { "name" : "Postgres schema refinement", "level" : "intermediate" }, { "name" : "Document processing", "level" : "intermediate" }, { "name" : "Embedding generation", "level" : "intermediate" }, { "name" : "Prompt assembly", "level" : "intermediate" }, { "name" : "REST API interactions", "level" : "intermediate" }, { "name" : "Data retrieval", "level" : "intermediate" } ], "majorSkills" : "AI/ML, RAG, LLM integration", "majorSkillsList" : [ "AI/ML", "RAG", "LLM integration" ], "coreResponsibilities" : "Implement RAG pipelines, Maintain RAG pipelines, Process documents, Generate embeddings, Configure retrieval, Assemble prompts, Integrate LLMs into applications, Develop REST API interactions, Maintain REST API interactions, Design Postgres schemas, Refine Postgres schemas", "domainKnowledge" : "Retrieval-Augmented Generation; Large Language Models; Generative AI; Deep learning; Natural language processing; Reinforcement learning; Computer vision; Cloud-native architecture", "domainList" : [ "retrieval-augmented-generation", "large-language-models", "generative-ai", "deep-learning", "natural-language-processing", "reinforcement-learning", "computer-vision", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Retrieval-Augmented Generation", "Large Language Models", "Generative AI", "Deep learning", "Natural language processing", "Reinforcement learning", "Computer vision", "Cloud-native architecture" ], "toolProficiency" : [ "Python", "Postgres", "Docker", "AWS" ], "continuousLearning" : "Learn new AI/ML methodologies; Learn new tools; Learn new frameworks", "innovationCreativity" : "Independent technical research; Evaluate emerging AI/ML approaches; Experimental development", "problemSolvingSkills" : "Advanced analytical problem-solving", "specialRequirements" : "TS/SCI with Polygraph, Work onsite full time, US citizenship", "qualificationsBasic" : "Demonstrated ability to conduct independent technical research, Ability to rapidly learn and apply new AI/ML methodologies, Experience developing AI/ML applications, Proficiency in Python, Active/current TS/SCI with required polygraph, US citizenship required, Minimum 8 years of experience with a Bachelor’s, Minimum 7 years of experience with a Masters, Minimum 6 years of experience with a Doctorate", "qualificationsPreferred" : "Advanced research experience in machine learning, Deep learning experience, Natural language processing experience, Generative AI experience, Reinforcement learning experience, Computer vision experience, Experience publishing research, Contributing to open-source AI/ML initiatives, Leading experimental and prototype development efforts, Familiarity with model evaluation frameworks, Familiarity with fine-tuning workflows, Familiarity with inference optimization, Familiarity with AI observability/monitoring tools, Experience with vector databases, Experience with AWS/cloud environments, Experience with Docker, Experience with containerized AI/ML development workflows, Experience designing and integrating REST APIs, Experience with scalable data architectures", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported by API development and optimizing data storage through Postgres schema refinement. Clearance Requirement: TS/SCI with Polygraph Key Responsibilities: Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly. Integrate LLMs into applications using available APIs and frameworks. Develop and maintain REST API interactions to support data retrieval and system integration. Design or refine Postgres schemas to improve data organization and query performance. Required Qualifications: Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments. Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks in support of evolving mission requirements. Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows. Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations. Active/current TS/SCI with required polygraph. Willingness to work onsite full time. US citizenship required. Senior Labor Category: Minimum 8 years of experience with a Bachelor’s degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate Preferred Qualifications: Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines. Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts. Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools. Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows. Experience designing and integrating REST APIs and scalable data architectures.", "summaryDescription" : "AI/ML Engineer at Closure Technologies. Skills: AI/ML, RAG, LLM integration. Implement RAG pipelines. 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"teamCollaboration" : "SRE teams; Automation teams; Cross-functional teams", "domainKnowledge" : "AI agents; AIOps; MLOps; IT operations; SRE; Incident workflows; Dependency mapping; Change risk prediction; Automated testing", "domainList" : [ "ai-agents", "aiops", "mlops", "it-operations", "sre", "incident-workflows", "dependency-mapping", "change-risk-prediction", "automated-testing" ], "domainSpecificKnowledge" : [ "AI agents", "AIOps", "MLOps", "IT operations", "SRE", "Incident workflows", "Dependency mapping", "Change risk prediction", "Automated testing" ], "toolProficiency" : [ "LangChain", "AutoGen", "Anthropic Claude", "OpenAI APIs", "Xebia ACE" ], "communicationSkills" : "English communication", "problemSolvingSkills" : "Dependency Analysis; Root-cause prediction", "specialRequirements" : "Work permit, Work from EU", "outcomesObjectives" : "Accuracy reporting; False positive rates reporting; Human override frequency reporting", "qualificationsBasic" : "3-6 years of experience, Python skills, ML frameworks experience, NLP/LLM integration experience, MLOps understanding, Cloud ML services experience, Observability data structures knowledge, Time-series analysis familiarity, Anomaly detection familiarity, English communication skills", "qualificationsPreferred" : "LLM-based agent architectures experience, Anthropic Claude or OpenAI APIs familiarity, IT operations or SRE background, Graph-based dependency mapping experience, Change risk prediction knowledge, Automated testing frameworks knowledge", "remoteFriendly" : true, "rawDescription" : "Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. You will be: designing and developing AI agents for operations: Incident Triage, Dependency Analysis, Runbook Interpreter, Change Risk, building and deploying the AI KT Agent that ingests codebase snapshots, IaC, and 12 months of incident history, implementing the Agent Maturity Gate framework: OBSERVE, RECOMMEND, CONTROLLED EXECUTE, LIMITED AUTONOMY, developing ML models for alert correlation, anomaly detection, and root-cause prediction, training models on operational data within client own repositories (full IP portability), building confidence scoring systems: agents only advance maturity gates when data-validated, deploying agents using Xebia ACE (Anthropic Claude Enterprise) platform across 4 regional instances, maintaining full audit trails for all agent decisions and recommendations, collaborating with SRE and Automation teams to integrate agents into operational workflows, measuring and reporting agent effectiveness: accuracy, false positive rates, human override frequency. Your profile: 3-6 years of experience in ML engineering, AIOps, or applied AI, strong Python skills with ML frameworks (scikit-learn, TensorFlow, PyTorch), experience with NLP and/or LLM integration (RAG architectures, prompt engineering, fine-tuning), understanding of MLOps: model deployment, monitoring, versioning, CI/CD for ML, experience with cloud ML services (AWS SageMaker, Azure ML, GCP Vertex AI), knowledge of observability data structures: metrics, logs, traces, events Familiarity with time-series analysis and anomaly detection techniques, strong English communication skills for cross-functional collaboration. Work from the European Union region and a work permit are required. Nice to have: experience with LLM-based agent architectures (LangChain, AutoGen, or similar), familiarity with Anthropic Claude or OpenAI APIs, background in IT operations or SRE (understanding of incident workflows), experience with graph-based dependency mapping, knowledge of change risk prediction and automated testing frameworks. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision", "summaryDescription" : "AI/ML Engineer at Xebia. Skills: AI/ML Engineering, AIOps, Applied AI, MLOps. Design AI agents for operations. 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evaluation; Model debugging; Systems design; Data pipelines; Graph databases; Incremental learning; LoRA; Full fine-tuning; QLoRA; DeepSpeed; FSDP; Memgraph; Neo4j; Agent frameworks; Qwen 2.5; Llama 3.1; GPT-4; Claude; AWS; Docker; Kubernetes; vLLM; Weights & Biases", "domainList" : [ "supply-chain-intelligence", "digital-twins", "supply-chains", "warehouses", "distribution-networks", "global-logistics", "domain-specific-language-model", "project-genome", "supply-chain-knowledge", "actionable-intelligence", "production-engineering", "ml-llms", "transformer-architecture", "attention-mechanisms", "training-dynamics", "prompt-engineering", "context-management", "rate-limits", "retries", "model-fine-tuning", "model-training", "model-evaluation", "model-debugging", "systems-design", "data-pipelines", "graph-databases", "incremental-learning", "lora", "full-fine-tuning", "qlora", "deepspeed", "fsdp", "memgraph", "neo4j", "agent-frameworks", "qwen-2-5", "llama-3-1", "gpt-4", "claude", "aws", "docker", "kubernetes", "vllm", "weights-biases" ], "domainSpecificKnowledge" : [ "Supply chain intelligence", "Digital twins", "Supply chains", "Warehouses", "Distribution networks", "Global logistics", "Domain-specific language model", "Project Genome", "Supply chain knowledge", "Actionable intelligence", "Production engineering", "ML/LLMs", "Transformer architecture", "Attention mechanisms", "Training dynamics", "Prompt engineering", "Context management", "Rate limits", "Retries", "Model fine-tuning", "Model training", "Model evaluation", "Model debugging", "Systems design", "Data pipelines", "Graph databases", "Incremental learning", "LoRA", "Full fine-tuning", "QLoRA", "DeepSpeed", "FSDP", "Memgraph", "Neo4j", "Agent frameworks", "Qwen 2.5", "Llama 3.1", "GPT-4", "Claude", "AWS", "Docker", "Kubernetes", "vLLM", "Weights & Biases" ], "toolProficiency" : [ "FastAPI", "PydanticAI", "FastMCP", "Memgraph", "Unsloth", "Axolotl", "VLLM", "Weights & Biases", "Docker", "Kubernetes", "AWS", "Git", "JIRA" ], "communicationSkills" : "Communicate trade-offs", "problemSolvingSkills" : "Debug complex systems; Debug model learning; Troubleshooting", "outcomesObjectives" : "Hit <200ms latency targets", "qualificationsBasic" : "Production Python engineer, Built FastAPI services, Built with LLMs, Handled streaming responses, Dealt with rate limits, Dealt with retries, Cached intelligently, Prompt engineering, Context management, Error handling, Cost control, Trained or fine-tuned models, Dealt with training data, Dealt with evaluation metrics, Dealt with overfitting, Debugged model learning, Systems engineer mindset, Designed for failure, Added instrumentation, Considered edge cases, Cared about monitoring, Cared about logging, Cared about alerting, Cared about degradation, Understood transformers, Understood attention mechanisms, Understood training dynamics, Balanced velocity with quality, Proactively refactored, Wrote tests that matter, Communicated trade-offs clearly", "qualificationsPreferred" : "Fine-tuning experience, Distributed training basics, Graph databases experience, Supply chain domain knowledge, Logistics domain knowledge, Agent frameworks experience", "remoteFriendly" : true, "rawDescription" : "At Kallikor, we're building the future of supply chain intelligence through AI-powered simulation digital twins. We create living digital representations of real-world operations (warehouses, distribution networks, global logistics) that help organisations make better decisions faster. We're at an inflection point: moving from AI-assisted tools to domain-specific AI that understands supply chains as deeply as our best engineers do. You'll be instrumental in building our first domain-specific language model (DSLM) and the foundation for Project Genome, an ambitious initiative to capture and synthesise the world's supply chain knowledge into actionable intelligence. This is a production engineering role first. You'll build robust Python systems that happen to train and serve LLMs, not the other way around. We need someone who writes production-quality code, debugs complex distributed systems, and thinks about reliability, who has learned ML/LLMs as powerful tools in their engineering arsenal. You'll work across our entire AI stack: building FastAPI services that serve models, creating training pipelines that process production data, deploying inference endpoints with proper monitoring, and integrating all of this into our existing Python backend. The ML is important, but the engineering discipline is what makes it production-ready. Learn more at kallikor.ai http://kallikor.ai. YOUR OPPORTUNITY - Build production AI systems: Design and implement the full stack, from FastAPI endpoints that handle requests, to training pipelines that process data, to inference services that serve predictions. You'll own the architecture, not just the model weights. - Train and deploy our DSLM: Fine-tune models using Unsloth/Axolotl, but more importantly, build the robust infrastructure around it - data pipelines that feed training, evaluation frameworks that catch regressions, deployment systems that handle failover. Make it production-grade. - Integrate ML into our backend: We use FastAPI, PydanticAI, FastMCP, Memgraph. You'll extend these systems with ML capabilities, not as a separate \"ML service\" but as a natural part of our backend architecture. Clean abstractions, proper error handling, observability. - Own inference performance: Get models running fast, whether that's vLLM deployment, quantization strategies, batching optimizations, or caching. Hit our <200ms latency targets through engineering, not just throwing bigger GPUs at it. - Shape Project Genome's foundation: Work with our Principal Engineer to architect how we ingest, process, and learn from global supply chain data. This is systems design as much as ML with data pipelines, graph databases, incremental learning strategies being just as important. - Mentor through code review and pairing: Raise the bar on code quality, testing, and production practices across the team. Teach mid and junior engineers how to build ML systems that don't fall over. WHY YOU'RE MADE FOR THIS - You're a strong production Python engineer: You write clean, maintainable, tested code. You understand async/await, know when to use generators vs lists, can profile performance bottlenecks. You've built FastAPI services (or similar) that handle production traffic. Your code passes review without drama. - You've built with LLMs in production: You've integrated GPT-4/Claude into real applications, handled streaming responses, dealt with rate limits and retries, cached intelligently. You know the practical challenges: prompt engineering, context management, error handling, cost control. - You've trained or fine-tuned models: Whether it's fine-tuning LLMs, training classifiers, or running experiments, you understand the workflow. You've dealt with training data quality, evaluation metrics, and overfitting. You can debug why a model isn't learning what you expected. - You think like a systems engineer: You design for failure, add instrumentation, consider edge cases. You know that \"the model works on my laptop\" isn't shipping. You care about monitoring, logging, alerting, and graceful degradation. - You can navigate the ML landscape pragmatically: You know enough about transformers, attention mechanisms, and training dynamics to make informed decisions. But you're not precious about it. If a simple heuristic beats a complex model, you ship the heuristic. - You balance velocity with quality: You ship incrementally and iterate based on production data. But you don't accumulate tech debt, you refactor proactively, write tests that matter, and leave the codebase better than you found it. - You communicate trade-offs clearly: You can explain to the team why we're choosing LoRA over full fine-tuning, why we're deploying on Fireworks instead of self-hosting, or why a 7B model might beat a 70B model. You help everyone make informed decisions. WHAT WE'RE LOOKING FOR SPECIFICALLY Must have: - 5+ years building production Python systems (backend services, APIs, data processing) - Strong software engineering fundamentals: design patterns, testing, debugging, profiling - Experience integrating LLMs into applications (OpenAI/Anthropic APIs, prompt engineering, streaming, PydanticAI) - Understanding of ML training workflows (even if you're not an expert. You need to know enough to build the infrastructure) - Docker, CI/CD, production deployment experience - Can read and understand PyTorch code (you don't need to write novel architectures) Nice to have: - Fine-tuning experience (LoRA, full fine-tuning, QLoRA) - Distributed training basics (DeepSpeed, FSDP) - Graph databases (Memgraph, Neo4j) - Supply chain or logistics domain knowledge - Experience with agent frameworks (LangChain, PydanticAI, etc.) WHAT YOU'LL WORK WITH - Backend Stack: Python, FastAPI, PydanticAI, FastMCP, Memgraph, Postgres - ML Stack: PyTorch, Unsloth/Axolotl for training, vLLM for inference, Weights & Biases - Models: Qwen 2.5, Llama 3.1, GPT-4, Claude (for now) - Infrastructure: AWS (flexible), Docker, Kubernetes, GPUs when needed - Team: Principal Engineer (your partner on architecture), Mid Data/ML Engineer (your data pipeline partner), Junior AI Engineer (your mentee) EXAMPLE PROJECTS YOU'LL OWN - Build a FastAPI service that handles streaming LLM responses with correct error handling and retry logic - Create a training pipeline that processes production logs, validates data quality, and triggers fine-tuning runs - Deploy a fine-tuned 7B model with vLLM that beats GPT-4 latency while maintaining quality on our domain - Design the data ingestion architecture for Project Genome, how we process papers, documentation, and operational data at scale - Implement evaluation frameworks that catch model regressions before they reach production About Us Kallikor is determined to foster an environment where people can do their best work and feel like they belong. We believe a healthy culture, strong values and contribution from a diverse range of individuals will help us to achieve success. We do not discriminate based on race, ethnicity, gender, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.", "summaryDescription" : "AI/ML Engineer at Kallikor. Skills: AI/ML, LLMs, Production systems, Python engineering. Build production AI systems. Design full stack", "createdAt" : "2026-06-14T06:34:57.632", "lastUpdated" : "2026-06-15T09:22:39.435", "ingestTimestamp" : "2026-06-14T06:34:57.632", "mongoId" : "6a2c749d74d8ee00a09350b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Async/await", "Generators", "Lists", "Performance profiling", "Model fine-tuning", "Model training", "Model evaluation", "Model debugging", "Failure design", "Instrumentation", "Edge case consideration", "Monitoring", "Logging", "Alerting", "Graceful degradation", "Transformer architecture", "Attention mechanisms", "Training dynamics", "Heuristic development", "Code refactoring", "Test writing", "Trade-off communication", "AI/ML", "LLMs", "Production systems", "Python engineering", "System design", "Production engineering", "MLOps", "Data pipelines", "Inference endpoints", "Observability", "Performance optimization", "Incremental learning", "Code review", "Pair programming", "Code quality", "Testing practices", "Production practices", "Agile", "Scrum", "JIRA", "Supply chain intelligence", "Digital twins", "Supply chains", "Warehouses", "Distribution networks", "Global logistics", "Domain-specific language model", "Project Genome", "Supply chain knowledge", "Actionable intelligence", "ML/LLMs", "Prompt engineering", "Context management", "Rate limits", "Retries", "Systems design", "Graph databases", "LoRA", "Full fine-tuning", "QLoRA", "DeepSpeed", "FSDP", "Memgraph", "Neo4j", "Agent frameworks", "Qwen 2.5", "Llama 3.1", "GPT-4", "Claude", "AWS", "Docker", "Kubernetes", "vLLM", "Weights & Biases", "FastAPI", "PydanticAI", "FastMCP", "Unsloth", "Axolotl", "VLLM", "Git" ], "skillCount" : 83, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30517cf292fd229cf012ec", "title" : "Senior AI-Native Backend Developer", "company" : "Payoneer", "salary" : { "min" : 380000.0, "max" : 550000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI-Native Backend Developer in Herzliya, Israel, adjusted for FinTech industry and company size." }, "location" : "Ramat HaSharon, Tel Aviv District, Israel", "locations" : [ "Ramat HaSharon", "Tel Aviv District", "Israel" ], "timestamp" : "2026-06-16T07:33:56.092", "fingerprint" : "8c6c61bdc0b69e26891692689d68346fc932e6c6b020ad6480c54bbf3b89e61c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.payoneer.com/careers/position/7925941/?gh_jid=7925941", "externalId" : "7925941", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herzliya", "state" : "Tel Aviv District", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "32.1656255,34.8469023" } ], "locationText" : "Herzliya, Tel Aviv District, Israel", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Payoneer Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories. By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence. Senior AI-Native Software Engineer Role summary You will join a high-impact AI engineering team within R&D, owning problems end-to-end from understanding the business need, through architecture and implementation, to production monitoring. This is a new way of working at Payoneer: you'll work directly with business stakeholders, ship AI-driven capabilities at speed, and help define the methodology as we build it. As a member of the AI Foundations organization, you will lead best practices, champion early adoption of new technologies, and influence the direction of our R&D guild - building and shipping cutting-edge agentic applications that deliver seamless experiences to our users. Location Hybrid - Herzliya, Israel Full-time What you'll do Own the full development loop understand the business problem, define the solution, architect it, build it, ship it, and monitor it in production Use AI as your primary development tool, achieving in a day what used to take a team a week Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics Design and build evaluation frameworks as part of every solution you don't ship what you can't measure Own production readiness monitoring, alerting, and observability go in on day one Contribute to shaping team practices, tooling, and engineering standards across the pod Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities. Who you are 5+ years of software engineering experience, building and operating production systems Hands-on experience with AI/ML systems in production not just prototyping, but shipping, monitoring, and iterating Genuine fluency with AI-powered development tools you use them daily to move faster Experience designing agentic architectures: orchestration, multi-step workflows, RAG pipelines, fallback and error handling Strong evaluation instincts you define metrics, build test sets, and validate before shipping Comfortable across the full stack you move between prompt engineering, backend services, data pipelines, and infrastructure as needed High degree of independence you lead work from problem definition to production without waiting for detailed specs Excellent communication you flag risks early, give direct feedback, and collaborate openly Fintech or regulated-environment experience is an advantage #LI-LF1 The Payoneer Ways of Working Act as our customer’s partner on the inside Learning what they need and creating what will help them go further. Do it. Own it. Being fearlessly accountable in everything we do. Continuously improve Always striving for a higher standard than our last. Build each other up Helping each other grow, as professionals and people. If this sounds like a business, a community, and a mission you want to be part of, apply today. We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. 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We build what makes people better and keep challenging ourselves to inspire others. Your impact: Build AI agents for engineers that transform development workflows.Automate", "summaryDescription" : "AI Integration Engineer at BetterMe. Build AI agents for engineers. Transform development workflows", "createdAt" : "2026-06-14T18:40:34.406", "lastUpdated" : "2026-06-16T04:22:22.650", "ingestTimestamp" : "2026-06-14T18:40:34.406", "mongoId" : "69c9097c9bc74574cbb0b756", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.0 }, { "id" : "6a2c69b574d8ee00a0908e96", "title" : "Senior Associate, Data & AI Advisory", "company" : "Aprio", "industry" : "Technology Advisory", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Associate, Data & AI Advisory in Atlanta, adjusted for consulting industry and seniority." }, "location" : "Atlanta, GA", "locations" : [ "Atlanta, GA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:26:58.857", "fingerprint" : "f0223e421372dc77c2d2f1e9a42c34d162209e133f5293febd4ee698610aff5c", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/Aprio/c340a3f0-9970-496b-8267-9d18dfac6a88/apply", "externalId" : "c340a3f0-9970-496b-8267-9d18dfac6a88", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, AWS, Azure, GCP, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Airflow, Scikit-learn, TensorFlow, PyTorch, MLflow, Spark", "professionalSkills" : [ "Data analysis", "Data modeling", "Statistical analysis", "Experimental design", "MLOps practices", "Data pipeline orchestration", "Business intelligence", "Data visualization", "Quantitative analysis", "Advisory services" ], "hardSkillsList" : [ "Data analytics", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Query languages", "Scripting languages", "Data warehousing", "Data pipeline", "MLOps", "Data modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Query languages", "level" : "intermediate" }, { "name" : "Scripting languages", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data pipeline", "level" : "intermediate" }, { "name" : "MLOps", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data-driven solutions, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage business intelligence dashboards, Perform quantitative analysis and statistical modeling, Collaborate with clients to understand data needs, Provide advisory services on data strategy and implementation, Stay current with emerging trends in data science", "teamCollaboration" : "Cross-functional teams; Client stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "MLflow", "Spark" ], "communicationSkills" : "Client presentations; Technical documentation", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data-driven decision making; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data analytics or related field, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud platforms (AWS, Azure, GCP), Experience with BI tools (Tableau, Power BI), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with data pipeline orchestration tools (Airflow, Prefect), Experience with MLOps practices, Experience with data modeling techniques, Experience with statistical analysis and experimental design (A/B testing), Experience with Python or R for data analysis and modeling", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Work with a Top 20 CPA and advisory firm that Accounts for Anything. Aprio has 40 U.S. office locations, as well as international office locations and more than 3,200 team members that speak 60+ languages across the globe. By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing industries, Aprio ensures clients are prepared for wherever life or business may take them. Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio. Join Aprio's Advisory team and you will help clients maximize their opportunities. Aprio Advisory Group, LLC is a progressive, fast-growing firm looking for a Senior Associate to join their dynamic team. We are looking for an AI Strategy Senior Associate to join our Data & AI practice within Aprio's Technology Advisory group. In this role, you will help clients move from Data and AI ambition to applied, business-driven solutions: assessing where AI can create value, shaping the roadmap to get there, and building the proof-of-concept solutions and demos that demonstrate it. You will work at the intersection of business strategy, business analysis, and technical execution, partnering with clients across our transformation journey, from Assess & Strategize and Integrate & Modernize through Optimize & Build and Deploy & Scale. This role suits an early-career professional with applied AI experience who wants to stay hands-on with solution development while growing into client-facing advisory work. This position is a heavy in person customer facing role that requires travel and interaction with customers across the US. ## Responsibilities AI strategy and assessment Conduct AI readiness assessments and data maturity evaluations that help clients understand their current capabilities and see where AI and automation can support value creation. Translate business challenges into prioritized Data and AI use cases and help shape transformation roadmaps that align technology investments with client objectives. Research emerging AI capabilities (large language models, machine learning, data management, generative AI, and agentic AI) and explain them in clear, accessible terms for non-technical stakeholders. Solution design and delivery Design and prototype agentic AI solutions across our core solution types: document processing and workflow automation; automated communication and prediction analytics; system integration and data synchronization; real-time external data validation; and business intelligence with work prioritization. Build proof-of-concept solutions and demos that help business teams explore the potential of Data and AI and analytics approaches, applying a structured approach to comparing models and options so recommendations are well-reasoned. Support SOW-based engagement delivery across discovery, kickoff, weekly status, and final delivery, contributing alongside the delivery team. Responsible AI and governance Help clients adopt AI responsibly, sustainably, and compliantly, building appropriate safeguards and monitoring into solution design. Contribute to AI and data governance frameworks that promote responsible, sustainable, and compliant use of AI. Client partnership Act as a bridge between technical and business domains, the role our team calls a Data Translator / Business Engineer, turning technical detail into business value. Partner with business stakeholders to understand their needs and help translate them into data- and AI-driven solutions. Present concepts and findings to business audiences in clear language, including through workshops and working sessions. ## Required Qualifications Bachelor’s or Master’s degree in Computer science, Data Science, Engineering, or a related quantitative field. 3+ years of applied AI, data management, or machine learning experience. Strong internship, research, or academic project work is welcome in place of full-time experience. Hands-on experience building AI or machine learning solutions, including work with large language models, natural language processing (NLP), or agentic AI approaches. Strong programming skills in Python, with experience using modern AI development tools. Ability to move between technical detail and business value, and to communicate clearly with non-technical stakeholders. Strong analytical and problem-solving skills, with a structured, well-tested approach to AI work. ## Preferred Qualifications Experience with agentic or autonomous agent design and AI-assisted development workflows. Exposure to taking AI or machine learning solutions beyond a notebook toward deployment, for example through a major cloud platform, containerization, or basic monitoring, gained via internships, research, or coursework. Exposure to responsible AI practices such as model evaluation, explainability, and fairness or drift checks. Familiarity with business intelligence tools (for example, Power BI or Tableau) and modern data platforms (for example, Snowflake, Databricks, or Spark). Exposure to client business systems and ERPs (NetSuite, QBO/IES, Acumatica, or Sage) is a plus. Interest in client-facing advisory work and a helpful, customer-oriented approach. ## Additional Information Why work for Aprio: Whether you are just starting out, looking to advance into management or searching for your next leadership role, Aprio offers an opportunity to grow with a future-focused, innovative firm. Perks/Benefits we offer for full-time team members: - Medical, Dental, and Vision Insurance on the first day of employment - Flexible Spending Account and Dependent Care Account - 401k with Profit Sharing - 9+ holidays and discretionary time off structure - Parental Leave – coverage for both primary and secondary caregivers - Tuition Assistance Program and CPA support program with cash incentive upon completion - Discretionary incentive compensation based on firm, group and individual performance - Incentive compensation related to origination of new client sales - Top rated wellness program - Flexible working environment including remote and hybrid options What’s in it for you: - Working with an industry leader: Be part of a high-growth firm that is passionate for what’s next. - An awesome culture: Thirty-one fundamental behaviors guide our culture every day ensuring we always deliver an exceptional team-member and client experience. We call it the Aprio Way. This shared mindset creates lasting relationships between team members and with clients. - A great team: Work with a high-energy, passionate, caring and ambitious team of professionals in a collaborative culture. - Entrepreneurship: Have the freedom to innovate and bring your ideas to help us grow to become the CPA firm of choice nationally. - Growth opportunities: Grow professionally in an environment that fosters continuous learning and advancement. - Competitive compensation: You will be rewarded with competitive compensation, industry-leading benefits and a flexible work environment to enjoy work/life balance. EQUAL OPPORTUNITY EMPLOYER Aprio is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex; pregnancy; sexual orientation; gender identity and/or expression; age; disability; genetic information, citizenship status; military service obligations or any other category protected by applicable federal, state, or local law. Aprio, LLP and Aprio Advisory Group, LLC, operate in an alternative business structure, with Aprio Advisory Group, LLC providing non-attest tax and consulting services, and Aprio, LLP providing CPA firm services.", "summaryDescription" : "Senior Associate, Data & AI Advisory at Aprio. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data-driven solutions. 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Austin:1411 Brazos (320TX-4000)
1411 Brazos St
Austin, 78701

" ], "timestamp" : "2026-06-15T22:56:59.191", "fingerprint" : "5f75133ba24aec7e4d1dcc96a85e398ff28a2d14c7101e16845098edb3ae68b8", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=33531", "externalId" : "33531", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Python, REST APIs, Gen AI SDKs, AWS, Google, Microsoft, Oracle", "professionalSkills" : [ "Software development", "Programming projects", "Software solutions", "Data processing", "Systems analysis" ], "hardSkillsList" : [ "AI-driven applications", "AI-powered tools", "AI models" ], "softSkillsList" : [ "Curious" ], "hardSkills" : [ { "name" : "AI-driven applications", "level" : "intermediate" }, { "name" : "AI-powered tools", "level" : "intermediate" }, { "name" : "AI models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" } ], "majorSkills" : "AI/ML, Java development, Software development", "majorSkillsList" : [ "AI/ML", "Java development", "Software development" ], "coreResponsibilities" : "Perform skilled software development work, Partner with AI Strategists to design AI tools, Develop in-house AI tools, Integrate in-house AI tools, Write clean code, Write maintainable code, Write efficient code in Java, Write efficient code in other languages, Develop REST APIs, Connect with REST APIs, Develop data pipelines, Connect with data pipelines, Develop enterprise systems, Connect with enterprise systems, Learn Gen AI SDKs, Utilize Gen AI SDKs, Learn cloud provider services, Utilize cloud provider services, Build solutions with Gen AI, Implement AI models, Fine-tune AI models, Ensure solutions adhere to agency policies, Ensure solutions adhere to data governance, Ensure solutions adhere to accessibility standards, Ensure solutions adhere to security standards, Contribute to software development lifecycle, Oversee programming projects, Analyze proposed applications, Design software solutions", "teamCollaboration" : "Partner with AI Strategists; Work as part of a team", "projectManagementSkills" : [ "Agile methodologies", "DevOps practices" ], "domainKnowledge" : "AI/ML space; Gen AI", "domainList" : [ "ai-ml-space", "gen-ai" ], "domainSpecificKnowledge" : [ "AI/ML space", "Gen AI" ], "toolProficiency" : [ "Gen AI SDKs" ], "communicationSkills" : "Communicate effectively", "continuousLearning" : "Training and development opportunities", "innovationCreativity" : "Innovative ideas", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Must be a Texas resident, Requires sponsorship for employment visa", "outcomesObjectives" : "Build next generation of AI-powered tools", "qualificationsBasic" : "Four years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field, Five years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field, Three or more years of full-time experience in software development, Background in Java development, Proficiency and hands-on professional experience in Java, Proficiency and hands-on professional experience in Python development, Experience with building and consuming REST APIs, Experience working with data pipelines, Proficiency in Gen AI prompting, Understanding prompt management techniques, Knowledge of Agile methodologies, Knowledge of DevOps practices, Texas resident or willing to relocate to Texas", "qualificationsPreferred" : "Bachelor’s degree in computer science, engineering, or a related field, Desire to learn about AI/ML technologies, Apply AI/ML to real-world problems, Exposure to cloud AI platforms like AWS, Azure, GCP, or OCI, Experience working in or with public sector or government agencies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is based at 1411 Brazos Street, Austin in the Information Technology Division. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: A curious and collaborative developer with a strong foundation in Java development. You are excited by the opportunity to learn new technologies and apply your skills to build the next generation of AI-powered tools for public service. You communicate effectively and enjoy working as part of a team to bring innovative ideas to life. WHAT YOU WILL DO: In this role, you will partner closely with our AI Strategists to design, build, and implement new AI-driven applications and services. The ideal candidate is a strong developer eager to expand their skills into the AI/ML space. The AI Developer (Programmer IV-V) perform advanced to highly advanced (senior-level) computer programming work. Work involves overseeing programming projects, analyzing proposed applications and designing software solutions. This work is performed under minimal supervision, with opportunities for considerable latitude for the use of initiative and independent judgment while learning and growing in the role. YOU WILL BE TRUSTED TO: - Performs skilled software development work. - Partner with two AI Strategists to design, develop, and integrate in-house AI tools and solutions. - Write clean, maintainable, and efficient code in Java and other languages as needed. - Develop and connect with REST APIs, data pipelines, and enterprise systems. - Learn and utilize Gen AI SDKs and services from cloud providers (e.g., AWS, Google, Microsoft, Oracle) to build solutions. - Implement and fine-tune AI models developed in collaboration with the strategy team. - Ensure all solutions adhere to agency policies, data governance, accessibility and security standards. - Contribute to the full software development lifecycle, from initial concept to deployment and maintenance. YOU ARE A GREAT FIT WITH: - Bachelor’s degree in computer science, engineering, or a related field. - Three or more years of full-time experience in software development, with a strong background in Java. - Proficiency and hands-on professional experience in Java and Python development. - Experience with building and consuming REST APIs and working with data pipelines. - A strong desire to learn about AI/ML technologies and apply them to real-world problems. - Proficiency in Gen AI prompting and understanding prompt management techniques for improved outcomes. - Excellent problem-solving skills and the ability to work collaboratively in a team environment. - Knowledge of Agile methodologies and DevOps practices. - Any exposure to cloud AI platforms like AWS, Azure, GCP, or OCI. - Experience working in or with public sector or government agencies. YOU QUALIFY WITH: -Programmer IV: Four years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field. -Programmer V: Five years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field. -Both Levels: Relevant academic credits may be applied toward experience qualifications for this position. YOU GAIN: - A Family Friendly Certified Workplace - An opportunity to help shape the future of AI in public service - Work on impactful projects that improve services for millions of Texans - Competitive starting salary: $7,000.00 - $9,500.00/month - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Paid time off, including time for vacation, sick and family care leave - Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_InformationTechnology.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "AI Developer at Texas Workforce Commission. Skills: AI/ML, Java development, Software development. Perform skilled software development work. Partner with AI Strategists to design AI tools", "createdAt" : "2026-06-14T19:53:51.923", "lastUpdated" : "2026-06-15T22:56:59.191", "ingestTimestamp" : "2026-06-14T19:53:51.923", "mongoId" : "69ce5df99bc74574cb671a54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "AI-driven applications", "AI-powered tools", "AI models", "Curious", "AI/ML", "Java development", "Software development", "Programming projects", "Software solutions", "Data processing", "Systems analysis", "Agile methodologies", "DevOps practices", "AI/ML space", "Gen AI", "Gen AI SDKs" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176ba74d8ee00a0c1ab95", "title" : "Associate, ML Data Operations, GO-AI Operations", "company" : "Amazon Dev Center India", "industry" : "Machine Learning Science, Machine Learning Data Operatio, amazon business", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior ML Data Operations roles in Hyderabad, India, adjusted for Amazon's company size and the logistics industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-16T02:30:09.262", "fingerprint" : "3ac85e27514e53b815f8f4002edd0a07cff4736ecf265a83b3e6e41fcad1d611", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10436713/apply", "externalId" : "2b3a47bd-fc04-43b4-991b-0a24b88a2123", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Video auditing", "Image auditing", "Text auditing" ], "hardSkills" : [ { "name" : "Video auditing", "level" : "intermediate" }, { "name" : "Image auditing", "level" : "intermediate" }, { "name" : "Text auditing", "level" : "intermediate" } ], "majorSkills" : "Data auditing, Quality assurance", "majorSkillsList" : [ "Data auditing", "Quality assurance" ], "coreResponsibilities" : "Watch videos of stowing action, Understand stowing action video, Indicate activity captured in video, Verify location of product, Mark location of product, Perform video/image audits, Provide responses by following goals, Spend 6.8 to 7 hours answering videos", "teamCollaboration" : "Rotational teams; Remote teams", "domainKnowledge" : "Fulfillment center operations; Robotics fulfillment centers; Inventory accuracy; Stow quality", "domainList" : [ "fulfillment-center-operations", "robotics-fulfillment-centers", "inventory-accuracy", "stow-quality" ], "domainSpecificKnowledge" : [ "Fulfillment center operations", "Robotics fulfillment centers", "Inventory accuracy", "Stow quality" ], "problemSolvingSkills" : "Human judgement", "specialRequirements" : "Dedicated workspace, Switch ON laptop camera, Rotational shifts, Night shifts, Come to office when required", "outcomesObjectives" : "Maintain highest level of accuracy; Maintain fulfillment center's stow quality; Aid defect reduction; Meet accuracy goals; Meet speed goals", "qualificationsBasic" : "Bachelor's degree", "qualificationsPreferred" : "Work flexible schedule/shift/work area, Weekends, nights, and/or holidays", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies & Robotics teams by enabling automation, which includes real-time & offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy. An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction. Key job responsibilities The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours’ time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair & sufficient lighting (2) workspace / work related data shouldn’t be accessed by anyone other than employee The candidate is expected to demonstrate: • Willingness to work in Non-tech role for contract duration of 6 months • Ability to audit image/video/text based Jobs • Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention & focus on screen • Willingness to work on incremental targets/goals on quality & productivity • Fast Pace of implementation & consistent performance • Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player • Readiness to come to office for few days (when required, applicable for associates working from home) • Willing to switch ON laptop camera while on virtual meetings. A day in the life Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon’s work policy. Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion. About the team Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching. Basic Qualifications: - Bachelor's degree Preferred Qualifications: - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays 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" : "Associate, ML Data Operations, GO-AI Operations at Amazon Dev Center India. Skills: Data auditing, Quality assurance. Watch videos of stowing action. 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As a client-facing associate consultant at Gallup, you’ll transform organizations’ complicated challenges into positive business outcomes. Collaborating with exceptionally talented team members, you’ll be a highly regarded leader who influences important decision-makers with invaluable insights and advice. What You’ll Do Influence leaders and teams by building deep, trusting relationships with clients Develop expertise in your clients’ business and needs, as well as Gallup’s offerings and services Create and implement complex project plans Provide compelling, innovative and strategic insights and recommendations for maximum organizational performance Turn data insights into actionable steps for leaders Learn how to design lasting solutions that foster growth and impact Who We Want Persuasive communicators who seek to understand clients’ needs, present compelling custom strategies and inspire team members to exceed expectations Exceptional project leaders who have a natural ability to lead client projects — creating detailed project plans, orchestrating resources, managing scope and deadlines, and overseeing many moving pieces to guarantee that each client receives a world-class experience High achievers who thrive in a demanding, fast-paced and goal-oriented environment that offers ongoing development opportunities and the empowerment to work autonomously Strategic thinkers who have a sharp eye for business opportunities and who can discern an organization’s problems, analyze applicable data, weigh risks against rewards and develop creative solutions to produce business growth and increased profitability Authentic relationship builders who easily build rapport, create strong connections, navigate tough conversations and make courageous recommendations that lead to exceptional results What You Need Bachelor’s degree required; master’s degree preferred At least three years of experience in paid professional work in any of the following areas required: complex project management, client management, management consulting, human capital consulting, related consultative business development Full fluency in Japanese with proficiency in English required Track record of leading projects that resulted in positive outcomes for client accounts required Ability to work in our Tokyo office at least three days per week required, with the option to work remotely the remaining days Eligibility to work in Japan required — open to foreign candidates with valid work visas; this position is not eligible for employment-based visa sponsorship What You’ll Experience Mission-driven work: Make a meaningful difference in the world with your unique contributions, commitment to service and exceptional outcomes. An empowering culture: Collaborate with smart, passionate people who love what they do and welcome your ideas, perspectives and experiences. Learning and development: Grow in your career as we invest in what you do best, encourage curiosity and create an environment where it’s safe — and expected — to challenge the status quo. Brand strength, startup energy: Thrive in an innovative environment backed by a trusted brand. A vibrant workplace: Enjoy working in our collaborative office environment in Hamamatsucho — a business area and gateway to the heart of Tokyo — just 20 minutes from the Haneda Airport, surrounded by cafes and restaurants, and with gorgeous views of the iconic Tokyo Tower. About Gallup At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup. Gallup offers a robust benefits package that includes competitive pay, health insurance options, life insurance, a retirement savings program, an employee stock ownership program, mass transit reimbursement, family-building benefits, an employee assistance program, and various reimbursements and activities that enhance our associates’ wellbeing. Gallup is an equal opportunity employer. Employment decisions are based on qualifications and business needs. We value diversity and are committed to an inclusive workplace. To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States. Agencies: We are not partnering with agencies for this role, nor will we accept unsolicited résumés or be responsible for any fees or expenses related to such unsolicited résumés and/or applicants. #LI-Hybrid #LI-QC1", "summaryDescription" : "Associate Consultant — Workplace Advisory at Gallup", "postedDate" : "2026-06-16T03:16:43.898", "createdAt" : "2026-06-16T03:16:43.898", "lastUpdated" : "2026-06-16T12:26:14.116", "ingestTimestamp" : "2026-06-16T03:16:43.898", "mongoId" : "6a30a1e0f292fd229c116c1d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a210ece74d8ee00a0af9c4d", "title" : "Senior Software Engineer, AI/ML GenAI, Google Cloud AI", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineer, AI/ML GenAI in San Francisco, adjusted for Google's size and industry, and senior experience level." }, "location" : "[San Francisco, CA, USA, [345 Spear St, San Francisco, CA 94105, USA], San Francisco, 94105, CA, US]", "locations" : [ "[San Francisco, CA, USA, [345 Spear St, San Francisco, CA 94105, USA], San Francisco, 94105, CA, US]", "[Sunnyvale, CA, USA, [Sunnyvale, CA, USA], Sunnyvale, null, CA, US]" ], "timestamp" : "2026-06-16T11:22:30.578", "fingerprint" : "15a0b9b5d3ad00c1d8353ff6a29a76336beec5fbe400b81acf3a42996b619783", "source" : "google", "language" : "en", "externalId" : "77065023347663558", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "summaryDescription" : "Senior Software Engineer, AI/ML GenAI, Google Cloud AI at Google", "postedDate" : "2026-06-16T01:51:51.304", "createdAt" : "2026-06-16T01:51:51.304", "lastUpdated" : "2026-06-16T11:22:30.578", "ingestTimestamp" : "2026-06-16T01:51:51.304", "mongoId" : "6a210ece74d8ee00a0af9c4d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a24e70374d8ee00a0022dba", "title" : "AI Developer", "company" : "SD Solutions", "industry" : "Technology", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an AI Developer in Warsaw, Poland, adjusted for Lead seniority and the Technology industry." }, "location" : "Warsaw, PL", "locations" : [ "Warsaw", "PL", "Serbia", "Romania" ], "timestamp" : "2026-06-16T02:56:01.579", "fingerprint" : "6284217cde548adc9785f3e2d91bd31270086d7cacd7e36a2bcc587c44fb634f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sd-solutions.breezy.hr/p/214ce3dba1df01-nda-adtech-ai-developer", "externalId" : "214ce3dba1df01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warsaw, Poland", "employmentType" : "FULL_TIME", "technicalSkills" : "Gen AI", "softSkillsList" : [ "Leadership", "Mentoring" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI Development", "majorSkillsList" : [ "AI Development" ], "coreResponsibilities" : "Lead Gen AI teams, Mentor Gen AI teams, Develop conversational agents, Manage the team", "qualificationsBasic" : "Lead Gen AI teams, Develop conversational agents", "rawDescription" : "On behalf of NDA, AdTech, SD Solutions is looking for a talented AI Developer. 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This position offers a hybrid work schedule with up to 1 day of telework per week! Our mission supports the Government Corporate Management Services (CMS) by providing full life cycle support services through the sustainment, modernization, and transformation of the enterprise corporate applications. These applications are used across the government enterprise and are critical to the daily functions of thousands of users across acquisition, business, finance, HR, training, recruitment, program management, security, logistics and more. Come join our diverse and growing team with lots of opportunities! Join a dynamic and forward-thinking team as a Senior Integration Developer, where you will play a key role in designing, developing, testing, and deploying innovative cross-domain and integration solutions supporting a mission-critical system. While the role supports the Pega platform, the primary focus will be on implementing cross-domain solutions to securely move and integrate data between environments, as well as developing and supporting microservices-based architectures and integrations. Pega is a leading enterprise application platform used by major government agencies and Fortune 500 organizations to build workflow-driven applications, automate complex business processes, and modernize legacy systems. Developers on this team work with a combination of visual application design, software engineering principles, API integrations, cloud technologies, and enterprise architecture patterns to rapidly deliver mission-critical solutions. This position offers the opportunity to work across multiple technologies and collaborate with engineering, infrastructure, and Government stakeholders to modernize and enhance enterprise capabilities. Key Responsibilities: Design, develop, test, and deploy cross-domain solutions to securely transfer and integrate data between environments Develop and maintain microservices and APIs to support scalable system integrations and enterprise workflows Support and enhance the Pega platform, including integrations, workflows, and service modernization efforts Collaborate with internal teams, architects, and Government stakeholders to gather requirements and define technical solutions Assist in configuring, integrating, and modernizing enterprise services to align with evolving mission and business needs Provide architectural guidance for secure data movement between environments while ensuring compliance with security and governance requirements. Partner with platform engineering teams to design, configure, and deploy Pega applications into new hosting environments. Participate in system integration activities, troubleshooting, and performance optimization across multiple environments Troubleshoot and resolve system-related issues, providing technical support to internal teams and end-users as needed Contribute to software upgrades, bug fixes, code enhancements, and continuous improvement initiatives to improve overall system functionality and reliability Participate in testing activities, including unit testing, integration testing, and quality assurance efforts to ensure reliable and high-quality deliverables Work within an Agile development environment, proactively contributing to team success, technical innovation, and continuous process improvement Collaborate closely with developers, systems engineers, and infrastructure teams to support secure and efficient cross-domain data flows and enterprise integrations Required Qualifications: An active security clearance with polygraph. Twelve (12) years of experience in software development/engineering   Bachelor’s degree from an accredited college or university in Computer Science or related discipline. Four (4) years of additional software development experience may be substituted for a bachelor’s degree.  Experience developing and supporting RESTful APIs and microservices architectures Experience integrating enterprise applications and services across multiple environments Familiarity with secure data transfer, system integrations, and cross-domain solution concepts Experience with programming languages such as Java, JavaScript, etc. Experience working with cloud-based or hybrid environments, preferably Amazon Web Services technologies and services Demonstrated experience leading software development initiatives, mentoring junior engineers, conducting code reviews, and driving technical implementation efforts. Understanding of data transformation, data validation, message routing, and integration security patterns. Experience working with security architects and accreditation teams to support secure system integrations. Ability to analyze customer requirements, identify system improvements, and effectively troubleshoot issues to enhance application performance and user experience.  Ability to communicate technical concepts, risks, and dependencies clearly to both technical and non-technical stakeholders Excellent communication and interpersonal skills to engage with customers, understand their needs, and provide timely and effective support, ensuring high levels of satisfaction.  Must be able to work during core hours of Monday-Friday 10am-2pm. Exceptions will be considered on a case-by-case basis.  Technology Stack: PEGA Kubernetes React Java HTML, CSS, JavaScript AWS, EKS, S3 Docker ElasticSearch Kafka Jenkins Artifactory Git Desired Qualifications: Experience implementing, configuring, and integrating COTS software solutions within enterprise environments Experience with integrating PEGA applications with third-party systems using APIs, middleware, and other integration technologies Familiarity with Agile project management practices, including Scrum or Kanban, to effectively collaborate in a fast-paced development environment Experience architecting and supporting enterprise workflow solutions, including process automation, orchestration, and business process optimization initiatives. Experience deploying enterprise applications to Kubernetes-based environments. Experience containerizing applications using Docker and implementing CI/CD deployment pipelines. Experience developing strategies for data movement across security boundaries while maintaining compliance with enterprise security requirements. Experience implementing authentication and authorization mechanisms such as OAuth2, OIDC, SAML, JWT, and PKI-based solutions. The estimated salary range for this position is between $200,000-$265,000 (annualized USD). This range reflects the typical pay for the role and is one part of the company's comprehensive compensation package. Actual salaries are influenced by several factors, such as location, the individual’s education, skills, experience, and competencies, as well as contract affordability and organizational needs. What’s in It for You? Flexible work environment A team mentality – work with friendly, like-minded professionals Work with innovative, cutting edge technologies Enjoy extremely competitive compensation and benefits A work-life balance you can count on Opportunities to grow and advance your career on our dime The Benefits You Get with Freedom Amazing benefits including matching 401k, fully paid medical, and more Generous paid time off – including paid site closure days Competitive salary offerings Paid training and tuition reimbursement Referral bonuses Fully paid life and disability Annual logo wear allowance Company sponsored events (game nights, holiday party, summer party, happy hours) Interested in learning more about Freedom and our culture? Contact us today! We’re constantly hosting hiring events in our office and elsewhere, to help you get a sense of what life is like at Freedom before joining the team. As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status Applicant Federal & E-Verify Postings VEVRAA Federal Contractor Accessibility: If you need an accommodation as part of the employment process, please contact Human Resources at Phone: 410-290-9035 Email: recruiting@goftsg.com Equal Opportunity Employer, including disabled and veterans. If you want to view the EEO Law poster, please choose your language: English - Spanish - Arabic - Chinese If you want to view the EEO Law Supplement poster, please choose your language: English - Spanish - Chinese If you want to view the Pay Transparency Policy Statement, please click the link: English", "summaryDescription" : "Senior Integration Developer at Freedom Technology Solutions Group", "postedDate" : "2026-06-11T19:01:14.630", "createdAt" : "2026-06-11T19:01:14.630", "lastUpdated" : "2026-06-14T20:17:14.249", "ingestTimestamp" : "2026-06-11T19:01:14.630", "mongoId" : "6a2aa5fd74d8ee00a06b6f60", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Agile development environment", "Scrum", "Kanban", "Cross-domain solutions", "Enterprise applications", "Cloud-native architecture", "Security and governance" ], "skillCount" : 7, "jobCategory" : "other", "jobSubcategory" : "nis-", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a307648f292fd229c017e04", "title" : "AI First Developer", "company" : "Smartcat", "industry" : "SaaS", "salary" : { "min" : 1.2E7, "max" : 1.8E7, "currency" : "AMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior AI First Developer in the SaaS industry in Armenia, adjusted for remote work and company size." }, "location" : "Armenia - Remote", "locations" : [ "Armenia - Remote", "Costa Rica - Remote", "Georgia - Remote", "Portugal - Remote", "Serbia - Remote" ], "timestamp" : "2026-06-16T12:06:01.285", "fingerprint" : "31e62b733468f5505d1aadd8d61b6702bb64bfe6311cd1c40a1b25d131499fc6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.smartcat.com/career/?gh_jid=6000303004", "externalId" : "6000303004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Armenia", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Armenia", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "NET Core, C#, Python, Vue.js, Nuxt 3, Typescript, MongoDB, PostgreSQL, Elasticsearch, Kafka, AWS", "professionalSkills" : [ "System design", "Product development" ], "hardSkillsList" : [ "Backend development", "API development", "Performance optimization", "Scalability", "Security" ], "softSkillsList" : [ "Problem-solving", "Determination", "Feedback reception" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Security", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Determination" }, { "name" : "Feedback reception" } ], "majorSkills" : "Backend services, NET Core, C#, MongoDB", "majorSkillsList" : [ "Backend services", "NET Core", "C#", "MongoDB" ], "coreResponsibilities" : "Design backend services, Implement backend services, Develop backend services, Deploy backend services, Optimize application performance, Optimize application scalability, Optimize application security, Collaborate with product managers, Collaborate with frontend engineers, Collaborate with DevOps, Troubleshoot production issues, Resolve production issues, Participate in code reviews, Share knowledge, Continuous learning", "teamCollaboration" : "Cross-functional teams; Product managers; Frontend engineers; DevOps", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Agentic AI; Hybrid workforces; Enterprise Skill Graph; Generative AI; Human-in-the-loop workflows; Multilingual content; Content localization", "domainList" : [ "agentic-ai", "hybrid-workforces", "enterprise-skill-graph", "generative-ai", "human-in-the-loop-workflows", "multilingual-content", "content-localization" ], "domainSpecificKnowledge" : [ "Agentic AI", "Hybrid workforces", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Content localization" ], "toolProficiency" : [ "ELK", "EFK", "Prometheus", "Grafana" ], "documentationSkills" : "Well-documented C# code", "continuousLearning" : "Continuous learning", "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Solve real-world customer challenges; Ensure seamless integration of services", "qualificationsBasic" : "8+ years Software Engineer, 3+ years .NET, 3+ years C#, 2+ years product companies (SaaS), Upper-intermediate English proficiency", "qualificationsPreferred" : "Experience with Unit tests, Experience with E2E tests, Experience with MongoDB", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Mission As a Senior Backend Engineer, you'll be at the forefront of enhancing our platform's capabilities. You'll design and implement scalable, high-performance backend services that power critical features for our growing client base. Outcomes Design, develop, and deploy backend services and APIs that solve real-world customer challenges Optimize application performance, scalability, and security Collaborate with product managers, frontend engineers, and DevOps to ensure seamless integration of services Troubleshoot and resolve production issues efficiently Actively participate in code reviews, knowledge sharing, and continuous learning Requirements 8+ years of proven professional experience as a Software Engineer, with at least 3 years in .NET and C# 2+ years of experience in product companies (SaaS) Passion and strong skill for writing clean, maintainable, and testable code and well-documented C# code Experience with writing and maintaining Unit tests and E2E tests Advanced experience with MongoDB Upper-intermediate or higher English proficiency (written and spoken) Strong problem-solving skills and a growth mindset Readiness to thrive in a fast-paced startup environment with extreme focus, a strong sense of ownership, and determination Openness to constructive feedback and value the ideas and opinions of others Our technologies Backend: .NET Core (C#), Python Frontend: Vue.js 2/3, Nuxt 3, Typescript Databases: MongoDB, PostgreSQL, Elasticsearch Messaging Queue: Kafka Cloud Provider: Amazon AWS Monitoring & Logging: ELK (EFK), Prometheus, Grafana Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.", "summaryDescription" : "AI First Developer at Smartcat. Skills: Backend services, NET Core, C#, MongoDB. Design backend services. 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With product teams; With service teams; With training teams", "projectManagementSkills" : [ "Pre-sales", "Delivery" ], "domainKnowledge" : "Machine Learning; FSI; Telco; Retail; Cloud-native architecture", "domainList" : [ "machine-learning", "fsi", "telco", "retail", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Machine Learning", "FSI", "Telco", "Retail", "Cloud-native architecture" ], "toolProficiency" : [ "AWS services", "Terraform", "Python" ], "communicationSkills" : "Explain technical concepts", "problemSolvingSkills" : "Technical challenges", "specialRequirements" : "Travel to customer locations", "outcomesObjectives" : "Deliver business value; Drive feature innovations", "qualificationsBasic" : "5+ years direct customer interaction, Bachelor's degree in Computer Science, 5+ years ML practitioner experience, 3+ years working experience in ASEAN region", "qualificationsPreferred" : "AWS experience preferred, AWS Professional level certifications preferred, Experience with automation and scripting, Knowledge of security and compliance standards, Communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Web Services Professional Services (AWS ProServe) ASEAN organization is looking for a senior experienced and motivated business-oriented AI/ML practitioner who possess a unique balance of business knowledge and Technology depth in Machine Learning with deliver implementation experience in the cloud. AWS ProServe engage in a wide variety of projects for customers and partners, providing collective AWS customer experience, best practices, and technical skills for the Customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams, to deliver the right solutions and drive feature innovations for our customers across all industries. This role will focus on advising customers looking to enhance their business or operational outcomes through the use of ML on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and implement complex AI/ML workloads with our customers and partners. Key job responsibilities - Advise customer’s technologists and business leads; help them to explore the art of the possible with machine learning, and to develop scalable ML solutions on AWS to deliver business value in the most effective way - Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail - Drive large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to closure and into deliver - Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of machine learning - Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes 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 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. 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: - 5+ year of experience with direct customer (internal or external) interaction with responsibilities in ML solutions design, architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ year of experience in the industry as a ML practitioner - Ability to think strategically about business, solutions and technical challenges. - A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities. Preferred Qualifications: - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., SageMaker, AmazonQ, Amazon Nova, EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences 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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Postgres, Experience designing distributed systems, Experience owning distributed systems, Experience designing data pipeline architectures, Experience owning data pipeline architectures, Track record of technical mentorship, Excellent written communication, Excellent verbal communication, Experience in growth-stage startup", "qualificationsPreferred" : "AWS ECS experience valued, AWS RDS experience valued, AWS S3 experience valued, AWS Lambda experience valued, Familiarity with ETL pipelines, Familiarity with AI/LLM integration patterns, Familiarity with data-intensive systems, Experience with healthcare environments, Experience with regulated data environments, HIPAA compliance experience, PHI handling experience, Familiarity with event-driven architectures, Familiarity with message queues, Familiarity with streaming pipelines, Prior experience as engineering manager, Contributions to open source, Engineering blog posts contributions, Conference talks contributions", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Staff Engineer AI/ML Remote, Anywhere in the US About AnswersNow At AnswersNow, we are trailblazing the future of autism therapy, making it more immediate, accessible, and effective for families everywhere. Our innovative virtual ABA therapy platform is thoughtfully designed by clinicians to recreate the focused, supportive environment of in-person therapy, complete with distraction-free features and interactive activities that enhance engagement and progress. Our team operates fully remote—meaning you’ll have the flexibility to work from the comfort of home. If you're ready to make a meaningful impact and join a team that's reshaping autism therapy, we’d love to hear from you! Why this role matters: We're looking for a Senior Engineering Manager who knows that great engineering leadership is about growing people, removing obstacles, and making the team better — not writing the most code. You've led teams before. You know how to hold a high bar for craft while keeping engineers energized and growing. You understand that a team of four highly effective engineers with strong habits will outperform a team of twelve with unclear expectations. You'll manage a team of Engineering Team Leads, each of whom runs a squad of full-stack engineers. You own the health of the engineering organization: hiring, performance, culture, delivery, and the processes that keep everything running. You partner closely with the CTO, product leadership, and clinical stakeholders to ensure engineering is building the right things, the right way. This is a player-coach role in spirit — you should be technically credible and able to engage meaningfully in architecture discussions — but your primary output is team output, not individual code. Job Details - W2 Employee - Full-Time - 100% Remote Job Requirements - 8+ years of professional software engineering experience, with at least 3 years in a senior or staff-level role - Deep expertise in JavaScript and TypeScript in a production full-stack environment - Strong command of React, Node.js/Express, and Postgres — you can reason about performance, reliability, and maintainability at each layer - Proven experience designing and owning distributed systems or data pipeline architectures on AWS (ECS, RDS, S3, Lambda experience valued) - Track record of technical mentorship — you've made engineers around you measurably better - Excellent written and verbal communication; you can write an architecture doc, run a design review, and brief a non-technical executive in the same day - Experience working in or leading engineering at a growth-stage startup — you understand the balance between velocity and sustainability - Familiarity with ETL pipelines, AI/LLM integration patterns, or data-intensive systems is a strong plus - Significant experience architecting and deploying production-grade ML/AI systems, including LLM integration and model lifecycle management. Nice to have: - Experience with healthcare or regulated data environments (HIPAA compliance, PHI handling) - Familiarity with event-driven architectures, message queues, or streaming pipelines - Prior experience as an engineering manager who returned to an IC track (player-coach background welcome) - Contributions to open source or engineering blog posts / conference talks What You’ll Do Technical Leadership - Own and evolve the architecture of our core platform: React frontend, Node.js/Express APIs, Postgres, and AWS ECS infrastructure - Drive our JavaScript → TypeScript migration, establishing patterns, tooling, and standards the team can follow - Design and extend our ETL pipeline and config-driven AI integration framework, enabling engineers to ship AI-powered features faster and more reliably - Lead technical design reviews, create architecture decision records (ADRs), and ensure engineering decisions are documented and defensible - Identify and resolve systemic technical debt — not just flagging it, but owning the plan to address it - Define and execute the technical strategy for integrating ML/AI models into our core platform, ensuring scalability, performance, and reliability. Engineering Culture & Mentorship - Mentor engineers across all levels — pair, review, coach, and grow the team's collective capability - Establish and maintain engineering standards: code quality, testing practices, observability, on-call runbooks, and incident response - Serve as a technical resource and thought partner for product, clinical, and business stakeholders - Help define the engineering hiring bar and participate in the interview process Delivery & Operations - Partner with engineering leadership and product to scope, sequence, and de-risk large technical initiatives - Lead by example on production support — define runbooks, own post-mortems, and drive systemic fixes from incidents - Work across UI, API, DB, and infrastructure layers with genuine depth in at least two What we Offer - $151,000- $178,500 annual salary - Fully remote – work from anywhere in the U.S. - Flexible hours with an async-friendly team culture More About AnswersNow AnswersNow welcomes applicants of all backgrounds, experiences, and abilities. We believe a diverse team is a strong team, and are committed to provide a fair and equitable experience for every candidate. If you require reasonable accommodations at any stage, we encourage you to reach out. We’re here to support! Learn more about us at getanswersnow.com http://getanswersnow.com.", "summaryDescription" : "Staff Engineer AI/ML at AnswersNow. Skills: AI/ML, Full-stack development, Distributed systems, Data pipelines. Own platform architecture. 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Performance optimization skills, GitHub Copilot use, M365 Copilot use, AI-assisted development understanding", "qualificationsPreferred" : "MuleSoft experience, AI/ML integration use cases, Intelligent automation exposure, Enterprise security knowledge, API governance knowledge, Compliance frameworks knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Senior Integration Developer (6–9 Years)** **Role Summary** A highly experienced, hands-on Senior Integration Developer responsible for designing and delivering complex, enterprise-grade integration solutions. Drives advanced development, owns Low-Level Design (LLDs), and ensures high-quality, CI/CD-driven delivery using Azure Integration Services, while mentoring teams and contributing to architecture alignment. **Key Responsibilities** **Core Development (Primary Focus)** * Lead the development of **complex, large-scale integration solutions** using **Azure Integration Services (Logic Apps, Azure Functions, Data Factory, Service Bus, Event Grid)**. * Build **high-performance, scalable, and production-ready solutions** , handling complex enterprise integration scenarios. * Develop **reusable frameworks, advanced integration patterns, and shared components** to accelerate delivery across programs. **API Development & APIM Governance** * Design and implement **enterprise-grade APIs** using **Azure API Management (APIM)**. * Configure **advanced APIM policies** including security, transformation, throttling, and routing. * Ensure APIs meet **performance, security, and governance standards**. **Low-Level Design & Technical Ownership** * Own and drive **Low-Level Design (LLDs)** for modules and critical components. * Translate business and architectural requirements into **scalable, well-structured technical designs**. * Ensure strict adherence to **architecture standards, design principles, and best practices**. **Azure DevOps & CI/CD (Key Responsibility)** * Design, implement, and optimize **CI/CD pipelines using Azure DevOps / GitHub Actions**. * Drive **end-to-end automation** of build, deployment, and release processes using **Infrastructure as Code ( IaC)**. * Ensure **consistent, reliable, and high-quality releases** across environments. * Improve **deployment efficiency, rollback strategies, and release governance**. **Testing, Debugging & Production Support** * Lead **unit testing, integration testing, and validation strategies**. * Handle **complex debugging and root cause analysis** across APIs, events, and workflows. * Provide strong support for **critical production issues and performance bottlenecks**. **Monitoring, Reliability & Performance** * Implement and enhance **observability frameworks** using **Azure Monitor and Application Insights**. * Ensure solutions meet **SLAs for reliability, scalability, and performance**. **AI & Copilot-Enabled Development** * Actively leverage **GitHub Copilot / M365 Copilot** for: * Code acceleration and optimization * LLD and API documentation generation * Debugging and performance insights * Apply **AI-assisted engineering practices** to improve productivity and delivery quality. * Contribute to adoption of **AI-driven development practices within the team**. **Technical Leadership & Mentoring** * Provide **hands-on technical leadership** , guiding developers on design, coding, and best practices. * Conduct **code reviews, design reviews, and quality checks**. * Mentor engineers and junior developers, building **strong technical capability across the team**. **Collaboration in Complex Delivery Programs** * Work closely with **Leads, Architects, QA, DevOps, and business stakeholders**. * Drive alignment between **design, development, and delivery timelines**. * Actively contribute to **high-velocity, agile delivery environments**. **Required Skills** * **Experience:** 6–9 years with strong focus on **hands-on integration development in complex delivery environments**. * **Azure Integration:** Deep expertise in **Azure Integration Services (AIS)**. * **API Development:** Advanced experience with **Azure API Management (APIM)**. * **Programming:** Strong coding expertise in **C#, .NET, REST APIs, JSON, XML**. * **Design Skills:** Proven experience in owning **LLDs and contributing to HLDs**. * **Integration Patterns:** Strong knowledge of **event-driven, distributed, and microservices-based architectures**. * **Azure CI/CD:** Hands-on expertise in **designing and managing CI/CD pipelines using Azure DevOps / GitHub Actions**. * **Debugging & Performance:** Advanced troubleshooting and optimization skills. * **AI & Copilot Skills:** * Active and effective use of **GitHub Copilot / M365 Copilot** * Practical understanding of **AI-assisted development workflows** **Preferred Skills** * Experience with **MuleSoft (architecture, migrations, or coexistence)**. * Exposure to **AI/ML integration use cases and intelligent automation**. * Knowledge of **enterprise security, API governance, and compliance frameworks**.", "summaryDescription" : "Senior Integration Developer. 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We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world. Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term. Senior Backend Developer Mission: Your mission will be to maintain and improve existing functionality and develop new application parts. This position will be remote-based in Europe. Ideal locations include: Serbia, Armenia, Bulgaria, Georgia and Romania. Outcomes Deliver value for our customers Improve the stability and observability of our product Develop parts of the application: design, refactoring, fixing bugs, and writing tests to maintain the quality and functionality of the product and libraries Review code and share knowledge with the team Requirements 5+ years of experience in .NET development and test coverage Knowledge of OOP principles and design patterns Experience with Database concurrency Upper-Intermediate English: both written and spoken A data-driven approach. Ability to justify decisions using concrete metrics Integrity and full commitment Growth mindset Readiness to work in an intense startup environment requiring extreme focus, a strong sense of ownership, and determination to break through Openness to constructive feedback and the opinions and ideas of others Our technologies PL: .NET Core DB: MongoDB, PostgreSQL Hosting in the AWS Elasticsearch cluster, indexes for several billion documents ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring Why joining Smartcat might be your best move so far Fully remote team We are a global team of 200+ enthusiastic people spread across 30 countries. We have been fully remote since 2020, with some locations populated with more Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan. Innovating the $50 Billion-old industry Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost. High impact role enabling innovation and inclusion in organizations You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 150% YoY, thanks to our strong product-market fit and high-performing team. Smartcat Culture: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment. Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.", "summaryDescription" : "AI First Developer at Smartcat. Skills: NET Core, Database concurrency, System design. Maintain existing functionality. 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We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM We are building the future of software development — AI-First is the new standard. You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here. MISSION As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company. OUTCOMES Consistently deliver high-quality, production-grade features faster than traditional teams. Build and optimize AI-first workflows that integrate AI across all development stages. Raise the bar for speed, quality, and ownership in product delivery. Be a core contributor to the new engineering culture built on AI-First principles. HOW YOU’LL RAMP By Day 30: Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model. Start shipping real features using AI at every stage: coding, testing, documenting, releasing. Contribute to improving workflows for even faster delivery. By Day 60: Independently own the full lifecycle of feature delivery through AI-first methods. Identify and drive improvements in velocity, automation, and team efficiency. Partner with Product and Tech Leads to aggressively accelerate time-to-market. By Day 90: Deliver features faster and with higher quality than baseline teams. Actively mentor others on using AI as a multiplier across development. Become a key driver of the AI-First engineering standard inside the company. WHAT YOU’VE ACCOMPLISHED: Proven track record of delivering production-grade products using AI-driven approach. Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release. Strong technical foundation in AWS, .NET, Python, and MongoDB. Obsessed with delivery: you ship, you improve, you own the outcome. Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution. Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.", "summaryDescription" : "AI First Developer at Smartcat. Skills: AI-First Engineering, Software Development, DevOps, Cloud. Deliver production-quality features. 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(NYSE: AESI) is a leading solutions provider to the energy industry. Atlas’ portfolio of offerings includes oilfield logistics, distributed power systems, and the largest proppant supply network in the Permian Basin. With a focus on leveraging technology, automation, and remote operations to enhance efficiencies, Atlas is centered around a core mission of improving human beings’ access to hydrocarbons that power our lives and, by doing so, maximizing value creation for our shareholders. How You Will Make an Impact: The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and maintains AI solutions across the business. Responsibilities AI-powered features and applications such as conversational interfaces, workflow automations, MCP servers, and computer vision. Connect AI solutions with Atlas internal systems, Microsoft Graph, Azure services, third-party APIs, and operational data sources. Implement testing strategies for AI behavior including prompt evaluation, regression testing, output validation, and model performance. Apply authentication patterns, data protection controls, and audit logging. Ensure responsible and compliant AI usage by reinforcing approved tools, data handling, and governance guardrails; coordinate privacy/security reviews and escalate risks and exceptions as needed. Monitor deployed solutions for performance, reliability, and cost. Respond to incidents, troubleshoot issues, and drive continuous improvement through analytics and user feedback. Minimum qualifications Bachelor’s degree (in disciplines relevant to business process improvement or technology adoption) or equivalent practical experience/training. Programming: Foundational proficiency in one general purpose programming language (e. g. Python or C#) and one front end framework (e. g. React/JavaScript) Comfort with REST APIs, JSON, DBs and basic data structures Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through coursework, personal projects, or internship AI/ML/LLM concepts or project experience Eligible to work in the U. S. without future sponsorship. Demonstrated experience through relevant personal projects with publicly shareable artifacts (e.g., GitHub repositories, demos, technical write-ups, or case studies). Preferred qualifications Experience building LLM-powered applications and automations Exposure to cloud platforms and DevOps practices (Azure Functions, CI/CD pipelines, Git/GitHub, containers). Familiarity with Microsoft tools such as Power Platform, Copilot Studio, Microsoft Foundry, Graph APIs and collaboration platforms (e.g., Teams and SharePoint) Completion of relevant AI-focused certifications and/or accredited boot camps. What You Will Love About Us Best People and Team. Great Place to Work , Hire Vets, Top Place to Work For – Austin American Statesman Your Well-Being is a Priority. 100% covered Medical, Dental, and Vision Invest in Your Future. 401K with company match, immediate vesting Relax and Recharge. Paid time off (non-rotational roles), 15+ company paid holidays Equal Opportunity Employer Statement: Atlas Energy Solutions is an equal opportunity employer and is committed to providing equal employment opportunity to all applicants and employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, pregnancy, gender identity or expression, sexual orientation, genetic information, citizenship status, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. This commitment applies to all aspects of employment, including recruiting, hiring, training, promotion, compensation, benefits, and termination. Reasonable Accommodation Atlas Energy Solutions provides reasonable accommodations to qualified individuals with disabilities and those with pregnancy-related conditions in accordance with applicable law. 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Drives advanced development, owns Low-Level Design (LLDs), and ensures high-quality, CI/CD-driven delivery using Azure Integration Services, while mentoring teams and contributing to architecture alignment. **Key Responsibilities** **Core Development (Primary Focus)** * Lead the development of **complex, large-scale integration solutions** using **Azure Integration Services (Logic Apps, Azure Functions, Data Factory, Service Bus, Event Grid)**. * Build **high-performance, scalable, and production-ready solutions** , handling complex enterprise integration scenarios. * Develop **reusable frameworks, advanced integration patterns, and shared components** to accelerate delivery across programs. **API Development & APIM Governance** * Design and implement **enterprise-grade APIs** using **Azure API Management (APIM)**. * Configure **advanced APIM policies** including security, transformation, throttling, and routing. * Ensure APIs meet **performance, security, and governance standards**. **Low-Level Design & Technical Ownership** * Own and drive **Low-Level Design (LLDs)** for modules and critical components. * Translate business and architectural requirements into **scalable, well-structured technical designs**. * Ensure strict adherence to **architecture standards, design principles, and best practices**. **Azure DevOps & CI/CD (Key Responsibility)** * Design, implement, and optimize **CI/CD pipelines using Azure DevOps / GitHub Actions**. * Drive **end-to-end automation** of build, deployment, and release processes using **Infrastructure as Code ( IaC)**. * Ensure **consistent, reliable, and high-quality releases** across environments. * Improve **deployment efficiency, rollback strategies, and release governance**. **Testing, Debugging & Production Support** * Lead **unit testing, integration testing, and validation strategies**. * Handle **complex debugging and root cause analysis** across APIs, events, and workflows. * Provide strong support for **critical production issues and performance bottlenecks**. **Monitoring, Reliability & Performance** * Implement and enhance **observability frameworks** using **Azure Monitor and Application Insights**. * Ensure solutions meet **SLAs for reliability, scalability, and performance**. **AI & Copilot-Enabled Development** * Actively leverage **GitHub Copilot / M365 Copilot** for: * Code acceleration and optimization * LLD and API documentation generation * Debugging and performance insights * Apply **AI-assisted engineering practices** to improve productivity and delivery quality. * Contribute to adoption of **AI-driven development practices within the team**. **Technical Leadership & Mentoring** * Provide **hands-on technical leadership** , guiding developers on design, coding, and best practices. * Conduct **code reviews, design reviews, and quality checks**. * Mentor engineers and junior developers, building **strong technical capability across the team**. **Collaboration in Complex Delivery Programs** * Work closely with **Leads, Architects, QA, DevOps, and business stakeholders**. * Drive alignment between **design, development, and delivery timelines**. * Actively contribute to **high-velocity, agile delivery environments**. **Required Skills** * **Experience:** 6–9 years with strong focus on **hands-on integration development in complex delivery environments**. * **Azure Integration:** Deep expertise in **Azure Integration Services (AIS)**. * **API Development:** Advanced experience with **Azure API Management (APIM)**. * **Programming:** Strong coding expertise in **C#, .NET, REST APIs, JSON, XML**. * **Design Skills:** Proven experience in owning **LLDs and contributing to HLDs**. * **Integration Patterns:** Strong knowledge of **event-driven, distributed, and microservices-based architectures**. * **Azure CI/CD:** Hands-on expertise in **designing and managing CI/CD pipelines using Azure DevOps / GitHub Actions**. * **Debugging & Performance:** Advanced troubleshooting and optimization skills. * **AI & Copilot Skills:** * Active and effective use of **GitHub Copilot / M365 Copilot** * Practical understanding of **AI-assisted development workflows** **Preferred Skills** * Experience with **MuleSoft (architecture, migrations, or coexistence)**. * Exposure to **AI/ML integration use cases and intelligent automation**. * Knowledge of **enterprise security, API governance, and compliance frameworks**.", "summaryDescription" : "Senior Integration Developer. 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Our clients range from NASDAQ-listed enterprises to seed-stage startups. Projects span from small proofs-of-concept to multi-year strategic initiatives. What We’re Working On: Generative AI applications: Chatbots and Agents Traditional Machine Learning: Time Series Forecasting, AdTech, Computer Vision, etc. MLOps: Improving ML pipelines at scale Core Stack: As we work with many clients, our stack varies, but we often use: Python APIs: FastAPI Containerization: Docker, Kubernetes Model Training & Serving: LightGBM, CatBoost, PyTorch, HuggingFace Data Engineering: Pandas, Polars LLM Frameworks: LangChain, LangGraph Observability: MLFlow, Langfuse Cloud Platforms: AWS, GCP Search: Elasticsearch, OpenSearch, Solr The Role: We’re looking for a Junior Machine Learning Engineer to help us deliver projects rapidly. You’ll report to and be mentored by a senior team member. This is a hands-on role from day one, working on real projects that make a tangible impact. Preferred Qualifications: BSc in Computer Science, Software Engineering or equivalent MSc in Computer Science, Data Science, AI or equivalent Required Skills: Solid software engineering fundamentals (OOP, Git, concurrency, parallelism) Proficiency in Python Understanding of LLM system design (RAG, agents, etc.) Knowledge of ML system design (pipelines, training/inference techniques) Excellent English communication skills Nice to Have: Experience in non-academic projects (jobs, internships or similar) Previous LLM projects (academic or otherwise) Exposure to AI features in cloud platforms (Sagemaker, Bedrock, Vertex AI) Experience working in large codebases Why TensorOps? 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Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America, South America, and Europe, Rocket Lawyer has helped over 30 million people create over 50 million legal documents, and get their legal questions answered. We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company’s history, to capture audiences worldwide. We are expanding our team to take on this challenge! About your role Join our team as a Quality Engineering Intern on the AI/ML team at Rocket Lawyer, where you'll have the exciting opportunity to contribute to the testing of applications for Rocket Copilot, our AI Product. This internship offers hands-on experience in the software development process, and you'll collaborate closely with a talented, diverse, and global test team. Your work will directly impact the quality of Rocket Lawyer’s products, all while gaining valuable insights into industry best practices for software development and test automation. In this role, you'll dive into various areas of test automation, including mobile, partnerships, web frontend, and performance testing. This internship provides a unique chance to apply your skills and learn innovative testing and automation techniques, all while receiving mentorship from experienced professionals in the field. If you're eager to contribute to real-world projects and grow your expertise, we would love to have you join us! How you will make a difference day to day Assist with the creation and execution of automated tests for mobile applications. Partnerships Test Automation: Develop automated test scripts for integrations with external partners. Contribute to the automation of testing for marketing sites and Google Tag Manager functionality. Help build and execute automated test cases for web frontend applications and authoring tools. Assist in identifying and measuring system performance to ensure optimal functionality under varying loads. Actively participate in daily scrum meetings, collaborating with team members and engineers to align on priorities and tasks. Support in the building, execution, and delivery of automated test scripts and results. What you’ll need Graduate Student, Recent Graduate, or in your Senior year: Pursuing a technical degree in computer science, engineering, mathematics, or a related field. Familiarity with Javascript/Typescript and Python. A strong desire to expand your knowledge, improve technical skills, and grow within a collaborative environment. We encourage applicants from all backgrounds and communities to apply. We believe that diverse perspectives strengthen our teams and enhance the quality of our work. Interview Process Recruiter Phone Screen Hiring Manager Interview Team Interview Rocket Lawyer is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to hr@rocketlawyer.com. Location: Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship. Compensation per hour by location: San Francisco Bay Area, CA: $50.00 California (outside of San Francisco Bay Area): $46.25 Colorado: $42.50 Utah, Arizona, and North Carolina: $40.00 Actual compensation packages are determined by various factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, specific work location, and performance during the interview process. In addition to base salary, this role may include variable compensation and be eligible for an equity grant, depending on the position and level. 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AWS ProServe engage in a wide variety of projects for customers and partners, providing collective AWS customer experience, best practices, and technical skills for the Customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams, to deliver the right solutions and drive feature innovations for our customers across all industries. This role will focus on advising customers looking to enhance their business or operational outcomes through the use of ML on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and implement complex AI/ML workloads with our customers and partners. Key job responsibilities - Advise customer’s technologists and business leads; help them to explore the art of the possible with machine learning, and to develop scalable ML solutions on AWS to deliver business value in the most effective way - Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail - Drive large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to closure and into deliver - Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of machine learning - Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes 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 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. 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: - 5+ year of experience with direct customer (internal or external) interaction with responsibilities in ML solutions design, architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ year of experience in the industry as a ML practitioner - Ability to think strategically about business, solutions and technical challenges. - A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities. Preferred Qualifications: - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., SageMaker, AmazonQ, Amazon Nova, EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences 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" : "Senior Delivery Consultant - AI/ML at Amazon Web Services. Skills: AI/ML, Machine Learning, Cloud implementation. Advise customers on ML. Develop scalable ML solutions", "postedDate" : "2026-06-13T03:14:18.058", "createdAt" : "2026-06-13T03:14:18.058", "lastUpdated" : "2026-06-15T02:37:04.767", "ingestTimestamp" : "2026-06-13T03:14:18.058", "mongoId" : "68b706987fc9a711f0f6fe14", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3052516/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "ML implementation", "ML solutions design", "ML architecture", "ML workloads", "AI/ML", "Machine Learning", "Cloud implementation", "Business knowledge", "Technology depth", "Architecture best practices", "Customer engagements", "Technical leadership", "FSI", "Telco", "Retail", "Machine Learning on AWS", "AWS Professional level certifications" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a307648f292fd229c017e06", "title" : "AI First Developer", "company" : "Smartcat", "industry" : "SaaS", "salary" : { "min" : 7000000.0, "max" : 1.2E7, "currency" : "AMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI First Developer in Armenia, adjusted for the technology industry and remote work." }, "location" : "Armenia - Remote", "locations" : [ "Armenia - Remote", "Costa Rica - Remote", "Georgia - Remote", "Portugal - Remote", "Serbia - Remote" ], "timestamp" : "2026-06-16T13:50:15.316", "fingerprint" : "2a2a7ab55e9eddc89c43352ac964c42f8c65fc71742c5763c1b065cbfaf4a514", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.smartcat.com/career/?gh_jid=6000304004", "externalId" : "6000304004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Armenia", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Armenia", "technicalSkills" : "NET Core, MongoDB, PostgreSQL, AWS, Elasticsearch, ELK, EFK, VM, Prometheus, Grafana", "professionalSkills" : [ "Data-driven approach" ], "hardSkillsList" : [ "Application development", "Refactoring", "Bug fixing", "Writing tests", "Code review" ], "softSkillsList" : [ "Commitment", "Determination", "Feedback" ], "hardSkills" : [ { "name" : "Application development", "level" : "intermediate" }, { "name" : "Refactoring", "level" : "intermediate" }, { "name" : "Bug fixing", "level" : "intermediate" }, { "name" : "Writing tests", "level" : "intermediate" }, { "name" : "Code review", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Commitment" }, { "name" : "Determination" }, { "name" : "Feedback" } ], "majorSkills" : "NET Core, AWS, Databases", "majorSkillsList" : [ "NET Core", "AWS", "Databases" ], "coreResponsibilities" : "Maintain functionality, Improve functionality, Develop application parts, Design application parts, Refactor application parts, Fix bugs, Write tests, Review code, Share knowledge", "teamCollaboration" : "Global team; Fully remote team", "domainKnowledge" : "Agentic AI; Enterprise Skill Graph; Generative AI; Human-in-the-loop workflows; Multilingual content; Language AI platform", "domainList" : [ "agentic-ai", "enterprise-skill-graph", "generative-ai", "human-in-the-loop-workflows", "multilingual-content", "language-ai-platform" ], "domainSpecificKnowledge" : [ "Agentic AI", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Language AI platform" ], "toolProficiency" : [ "AWS", "Elasticsearch", "ELK", "EFK", "Prometheus", "Grafana" ], "innovationCreativity" : "AI innovation", "specialRequirements" : "Intense startup environment", "outcomesObjectives" : "Deliver value for customers; Improve stability; Improve observability", "qualificationsBasic" : "NET development experience, Test coverage experience, OOP principles knowledge, Design patterns knowledge, Database concurrency experience, Upper-Intermediate English", "qualificationsPreferred" : "AWS hosting experience, Elasticsearch cluster experience, ELK (EFK) experience, Prometheus and Grafana experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world. Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term. Mission Your mission will be to maintain and improve existing functionality and develop new application parts. This position will be remote-based in Europe. Ideal locations include: Serbia, Armenia, Bulgaria, Georgia and Romania. Outcomes Deliver value for our customers Improve the stability and observability of our product Develop parts of the application: design, refactoring, fixing bugs, and writing tests to maintain the quality and functionality of the product and libraries Review code and share knowledge with the team Requirements Experience in .NET development and test coverage Knowledge of OOP principles and design patterns Experience with Database concurrency Upper-Intermediate English: both written and spoken A data-driven approach. Ability to justify decisions using concrete metrics Integrity and full commitment Growth mindset Readiness to work in an intense startup environment requiring extreme focus, a strong sense of ownership, and determination to break through Openness to constructive feedback and the opinions and ideas of others Our technologies PL: .NET Core DB: MongoDB, PostgreSQL Hosting in the AWS Elasticsearch cluster, indexes for several billion documents ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring Why joining Smartcat might be your best move so far Fully remote team We are a global team of 200+ enthusiastic people spread across 30 countries. We have been fully remote since 2020, with some locations populated with more Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan. Innovating the $50 Billion-old industry Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost. High impact role enabling innovation and inclusion in organizations You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 150% YoY, thanks to our strong product-market fit and high-performing team. Smartcat Culture: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment. Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.", "summaryDescription" : "AI First Developer at Smartcat. Skills: NET Core, AWS, Databases. Maintain functionality. Improve functionality", "postedDate" : "2026-06-16T01:19:33.805", "createdAt" : "2026-06-16T01:19:33.805", "lastUpdated" : "2026-06-16T13:50:15.316", "ingestTimestamp" : "2026-06-16T01:19:33.805", "mongoId" : "6a307648f292fd229c017e06", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Application development", "Refactoring", "Bug fixing", "Writing tests", "Code review", "Commitment", "Determination", "Feedback", "NET Core", "AWS", "Databases", "Data-driven approach", "Agentic AI", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Language AI platform", "Elasticsearch", "ELK", "EFK", "Prometheus", "Grafana" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cec9074d8ee00a0a7a8e2", "title" : "Associate ML Engineer", "company" : "eiGroup", "industry" : "Technology", "salary" : { "min" : 48000.0, "max" : 72000.0, "currency" : "AZN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Azerbaijan, adjusted for junior seniority in the technology industry." }, "location" : "Baku, AZ", "locations" : [ "Baku", "AZ" ], "timestamp" : "2026-06-16T06:22:28.749", "fingerprint" : "c374db7418e074a5a34d2d40724dde29ca2afe322a78e786d42080a510aebf66", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://eigroup.breezy.hr/p/95510464a964-associate-ml-engineer", "externalId" : "95510464a964", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Baku", "country" : "Azerbaijan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "40.3755885,49.8328009" } ], "locationText" : "Baku, Azerbaijan", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Transform human ingenuity with structure", "innovationCreativity" : "R&D projects", "workSiteFlexibility" : "Onsite", "rawDescription" : "Associate ML Engineer Location: Baku, Azerbaijan Type: Full-time Company: eiLink LLC About eiGroup At eiGroup, we believe ideas can change industries - but only if they are nurtured with structure, science, and courage. We’re an R&D and Innovation Venture Studio that transforms human ingenuity", "summaryDescription" : "Associate ML Engineer at eiGroup. Transform human ingenuity with structure", "createdAt" : "2026-06-14T20:28:39.020", "lastUpdated" : "2026-06-16T06:22:28.749", "ingestTimestamp" : "2026-06-14T20:28:39.020", "mongoId" : "6a2cec9074d8ee00a0a7a8e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "in senior associate ai ml developer digital integration advisory gurgaon jobs", "metadata" : { "title" : "in senior associate ai ml developer digital integration advisory gurgaon" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 132655, "totalPages" : 2654, "hasNext" : true, "hasPrevious" : false } }

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