Machine Learning Ops Engineer

Key Role:

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

Basic Qualifications:

  • 2+ years of experience in data science, data engineering, or software development
  • Experience with container orchestration technologies, including Kubernetes and openshift
  • Experience with containerization technologies, including Docker and Containerd
  • Experience in developing and maintaining CI/CD pipelines and leveraging automation tools, including Jenkins
  • Experience with Git technologies
  • Experience with bash scripting and maintaining automation scripts
  • Experience with cloud technologies
  • Secret clearance
  • BA or BS degree

Additional Qualifications:

  • Experience with Python
  • Knowledge of machine learning techniques and technologies


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

We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.


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