Amazon Machine Learning Engineer Computer Vision 

United States, Kansas 

919652905

This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.Key job responsibilities
- Implement Machine Learning Operations (MLOps) workflows such as model deployment, retraining, testing, and performance monitoring.
- Work on TB scale datasets, creating scalable, robust and accurate computer vision systems in versatile application fields.- Experience applying best practices from core Software Development activities to Machine Learning (deployability, unit testing, well structured extensible software, etc.)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 Balance
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.

- Bachelor's degree in computer science or equivalent
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years professional experience with enterprise programming applications (i.e. Python, Java or C++) and Linux (i.e. bash scripting, containers, GPU based server configurations etc.)
- 2+ years of cloud software development experience
- Current, active US Government Security Clearance of TS/SCI or above

- AWS and/or relative cloud certifications (i.e. AWS Solution Architect Associate/Professional, ML Specialty, or Developer Associate)
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience working with satellite imagery, aerial imagery, medical imagery, infrared imagery, or another “unusual” imagery data type
- Experience working in production ML environments including deploying computer vision models, specifically neural networks, into production environments using containers
- Experience with Infrastructure as Code (IaC) tools such as Terraform, Cloudformation or AWS Cloud Development Kit (CDK)
- Experience designing and deploying cloud-native, enterprise-scale machine learning solutions in the AWS Cloud or with another major cloud provider
- Experience developing automation to solve problems at scale