Amazon Sr Machine Learning Engineer AFX - SalesNav 

United States, Massachusetts, Boston 

148239056

Senior Machine Learning Engineer, Gen AI AWS Field Experiences
DESCRIPTIONAs a Machine Learning Engineer (MLE) you will contribute to the design, development and improvement of generative AI as well as traditional ML models and systems for various software products. In this role, you will be expected to:
- Invent software experiences and systems architectures that use Large Language Models (LLMs) and other forms of generative AI as building blocks.
- Work with Data Scientists, ML Engineers and product partners to design and deliver AI solutions into production at scale.
- Design and develop AI/ML models, workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our AI/ML models and systems.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)Boston, MA, USA

- 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