Amazon Machine Learning Engineer AWS Supply Chain 

United States, Washington, Bellevue 

870089844

Key job responsibilities
* Help define and partner with external teams on data strategy for training foundational models.
* Help support scientists on tooling including notebooks and training pipelines.
* Establish MLOps best practices and operations for 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
Work/Life BalanceInclusive Team CultureMentorship 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.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 2+ years of industrial experience with Machine learning systems and big data processing
- Experience working with cross-functional teams including communicating with other technical teams, product management, and senior management

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Coursework in machine learning
- 2+ years of industrial experience with AWS Experience with building or customizing large language models.
- Java and Python experience