Amazon Machine Learning Engineer Data Integration AI Platform Excellence APEX 

United States, New York, New York 

118314109

Utility Computing (UC)
Key job responsibilities
- Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing.
- Optimize existing algorithms and systems for performance, scalability, and reliability
- Contribute to the full software development lifecycle, from conception to production deployment
- Mentor junior engineers and promote best practices in software development and AI implementationA day in the life- Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering
- Growth: Learn from experts while working with the latest in AI technology
- Purpose: Help shape responsible AI development practices and sustainable computing
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.Work/Life BalanceMentorship & 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
- Experience with AI/ML technologies and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

- 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
- Experience with AI/ML technologies and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)