Amazon Web Services Japan GK
Solutions Architect, Software Development, Cloud Computing
SeniorMachineLearningEngineer,AWSGenerativeAIInnovationCenter
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optimal for Senior candidates.
“Senior Machine Learning Engineer, AWS Generative AI Innovation Center at Amazon Web Services Japan GK. Skills: Generative AI, Machine Learning, Software development. Design experiments. Run experiments”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
5+ years professional software development, 5+ years systems development, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team, Experience managing teams, Japanese language proficiency, Business-level English communication skills, Experience with design, development, optimization of generative AI solutions, Experience with algorithms, Experience with generative AI technologies, Knowledge of Java, Knowledge of C#, Knowledge of JavaScript, Knowledge of Python, Knowledge of Ruby, Knowledge of Perl, Experience with machine learning technologies, Experience with Reinforcement Learning, Experience with Deep Learning, Experience with Computer Vision, Experience with Natural Language Processing (NLP), Experience with related applications
Nice to Have
2+ years developing ML models, 2+ years deploying ML models, 2+ years optimizing ML models, 5+ years full software development life cycle, Advanced degree in computer science, Advanced degree in computer engineering, Advanced degree in related field, Experience with Machine Learning fundamentals, Experience with Large Language Model fundamentals, Experience with model architecture, Experience with training lifecycles, Experience with inference lifecycles, Experience with optimization of model execution, Experience in professional software development
What You'll Do.
Research new algorithms
Optimize profitability
Optimize customer experience
Solve complex technical problems
Design GenAI solutions
Implement GenAI solutions
Deploy GenAI solutions
Maintain GenAI solutions
Build high-quality products
Build highly available products
Build always-on products
Optimize model hosting
Optimize model finetuning
Resolve software defects
Participate in design discussions
Participate in code review
Communicate with stakeholders
Drive business solutions
Provide technical input
How You'll Work.
Team & Collaboration
Collaborate across diverse teams; Work cross-functionally; Internal stakeholders; External stakeholders
Communication Scope
Business-level English
Full Job Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities Our ML Engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for the intersection of software development with generative AI and machine learning. You’ll also: - Solve complex technical problems, often ones not solved before, at every layer of the stack. - Design, implement, test, deploy and maintain innovative GenAI solutions to transform service performance, durability, cost, and security. - Build high-quality, highly available, always-on products. - Complexities will include distributed m
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