Key Role:

Process data and information at a massive scale with machine learning technologies. Apply specific functional, working, and general industry knowledge. Develop or contribute to solutions for a variety of problems of moderate scope and complexity. Work independently with some guidance and review or guide the activities of junior employees.

Basic Qualifications:

-3+ years of experience as a machine learning engineer, data engineer, data analyst, data modeler, devops engineer or software engineer with a data focus

-Experience with deploying and managing scalable containerized services, including in a cloud or on-prem environment

-Experience with container orchestration technologies, including Kubernetes, OpenShift, Docker, or Containerd

-Experience with designing and developing CI/CD process in a containerized environment to support the machine learning life cycle

-Ability to leverage emerging technologies to improve automation and integration for modeling and development teams 

-Ability to obtain a security clearance

-MA or MS degree

Additional Qualifications:

-Experience with Python

-Experience with developing and maintaining automation scripts for machine learning solutions

-Knowledge of the machine learning life cycle

-Experience with developing and maintaining CI/CD pipelines leveraging automation tools, including Jenkins

-Experience with federal or defense related data environments and platforms

-Experience with machine learning tools and techniques

-Experience with bash scripting

-Experience with Git technologies

-Ability to develop and maintain automation scripts

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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