The company is seeking a Machine Learning Engineer to join their team in Ashburn, VA, to participate in the development, integration testing, and validation of model-driven, micro-service JEE architecture software applications.
Requirements
- Development using Java and AWS SageMaker to create repeatable training workflows that accelerate model development.
- Provisioning, operating, and maintaining systems running on AWS (or equivalent cloud providers).
- AI/ML development using Python/PyTorch Framework.
- Docker, Kubernetes and Harness experience.
- Experience with object-oriented analysis and design techniques.
- Java Micro Service Architecture frameworks such as Spring Boot.
- Angular, Ngrx, and Angular library development.
Responsibilities
- Working closely with the team tech lead, developers, data analyst and data scientist, the successful candidate will participate in the development, integration testing and validation, and all aspects of the software life cycle for model-driven, micro-service JEE architecture software applications.
- Candidates will use modern software engineering tools including Eclipse, Git, Python, PyTorch, Java, and Atlassian Suites for design, development, and testing the software.
- Review pull requests and provide comments to peers.
- Capable of both leading and taking technical direction.
- Development using Java and AWS SageMaker to create repeatable training workflows that accelerate model development.
- Provisioning, operating, and maintaining systems running on AWS (or equivalent cloud providers).
- AI/ML development using Python/PyTorch Framework.
Other
- Bachelor’s degree in computer science or related engineering with 5+ years of technical experience.
- High level of self-motivation, desire to deliver stellar solutions and willingness to work in a hybrid team environment.
- Travel: Yes, 10 % of the Time
- Clearance Level Must Be Able to Obtain: Public Trust
- Must be a US Citizen.
