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Senior Machine Learning Engineer, Gen AI AWS Field Experiences
DESCRIPTION
Senior Machine Learning Engineer - AWS Field Experiences (AFX)As a Senior Machine Learning Engineer at AFX, you will be at the forefront of building AI-driven software tools that empower our field teams to win opportunities and generate revenue for AWS. You will work with a team of passionate scientists and engineers to design, develop, and improve generative AI and traditional ML models that drive multiple software products.Key responsibilities:* Innovate system architectures that use Large Language Models (LLMs) and other forms of generative AI as building blocks
* Leverage diverse data sources to maximize business impact through ML and AI methods
* Design and develop end-to-end, robust, and scalable pipelines for data preparation, model training, deployment, and monitoring
* Collaborate with scientists, engineers, and product partners to deliver intelligent, feature-rich software product
* Mentor and educate our colleagues and customers about how AI technology works, and the ways it may change how knowledge work is done.About the team
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
About Sales, Marketing and Global Services (SMGS)
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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