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Amazon Machine Learning Engineer II AFX - genAI 
United States, Massachusetts, Boston 
458742015

12.06.2024
DESCRIPTION

Sales, Marketing and Global Services (SMGS)As a Machine Learning Engineer (SDE) you will work on the design, development and improvement of AI/ML models and systems for various software products. In this role, you will be expected to:
- Build novel system architectures that leverage Large Language Models (LLMs) and other forms of generative AI.
- Design and build workflows and end-to-end pipelines for data preparation, model training, deployment, monitoring, etc., and ensure the quality of architecture to deliver the Generative AI solutions as scalable and performant fully featured products.
- Work with product partners to design production at scale.
The position is located in Boston, MAA day in the life
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 AWSWork/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.Boston, MA, USA

BASIC QUALIFICATIONS

- 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


PREFERRED QUALIFICATIONS

- 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