Amazon Machine Learning Engineer Insights Data Engineering 

United States, Washington, Seattle 

282062943

About AWS:
About you:Key job responsibilities
What you will do:
- Develop and deploy models and pipelines that scale
- Use AWS services like SageMaker, EMR, ECS, Glue, and more to build and deploy scalable machine learning models in the cloud
A day in the life
Example projects:- Scaling out and deploying regression, classification, and recommendation models
- Developing reusable cloud infrastructure and deployment patterns to accelerate productionalization
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)

- 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

- 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