Machine Learning Engineer at SAIC

Ashburn, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Java, AWS SageMaker, Python, PyTorch, Docker, Kubernetes, Agile Scrum, Micro Services, Spring Boot, Hibernate, PostgreSQL, MongoDB, Git, Unix/Linux, Software Configuration Management

Industry

Defense and Space Manufacturing

Description

Position Summary We are currently seeking a motivated, career and customer-oriented Machine Learning Engineer to join our team in Ashburn, VA. Job 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. Required Experience: Bachelor’s degree in computer science or related engineering with 5+ years of technical experience. 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. High level of self-motivation, desire to deliver stellar solutions and willingness to work in a hybrid team environment. Review pull requests and provide comments to peers. Capable of both leading and taking technical direction. Desired knowledge and experience include: Development using Java and AWS SageMaker to create repeatable training workflows that accelerate model development. Web /Micro Services. Java Micro Service Architecture frameworks such as Spring Boot. Angular, Ngrx, and Angular library development. Java Frameworks such as Spring, Grails, and Play. Unix/Linux. Hibernate. Oracle, PostgreSQL, MongoDB, JDBC. Takes and implements technical direction. Thorough understanding of infrastructure (firewalls, load balancers, storage, monitoring, security etc.) and have experience with orchestration to develop a cloud solution. Scalable Web Applications. Software Configuration Management (SCM) tools (Git and Gradle/Maven). Agile Scrum. Master’s in computer science or related field. Customer Requirements Clearance – Ability to obtain and hold a public trust position and favorable suitability based on a CBP Background Investigation. Citizenship – Must be a US Citizen. Location – On-site in Ashburn, VA 5 days per week in first year of employment.

Responsibilities

The successful candidate will participate in the development, integration testing, and validation of model-driven, micro-service JEE architecture software applications. They will work closely with the team tech lead, developers, data analysts, and data scientists throughout the software life cycle.