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AI​/ML Engineer​/Data Scientist​/Public Trust

Job in Virginia, St. Louis County, Minnesota, 55792, USA
Listing for: Peraton
Full Time position
Listed on 2026-07-17
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: AI/ML Engineer/Data Scientist / Public Trust

Required

  • Bachelor’s degree and a minimum of 8 years related technical experience required.
    • An additional 4 years of experience may be substituted in lieu of a degree.
  • Demonstrated fluency in AI/ML techniques.
  • Proficiency in scripting and automation (Bash, Python, etc.).
  • Strong understanding of containerization principles (Docker, Podman, etc.).
  • Ability to work independently and collaboratively in a team environment.
  • Experience interfacing with clients, technical support personnel, and other technical professionals to ensure efficient and effective service.
  • U.S. Citizenship is required.
  • Ability to obtain a Public Trust security clearance required.
  • Willingness and ability to travel 10-25%.
Preferred
  • Experience with the Databricks Data and AI platform.
  • Proven experience with Open Shift and Kubernetes in production environments.
  • Experience with Openshift/Kubernetes and other container-based platforms.
  • Experience implementing and utilizing AI models to explore and refine data.
  • Experience training task specific AI models for normalization and alerting.
  • Experience with SAFe Agile testing environments.
  • Experience using Open Shift to run microservice architectures designed to manage scale of data transformation processes.
Position Description
  • Peraton is currently seeking to hire an experienced AI/ML Data Scientist to join our Federal Strategic Cyber program.
  • Location:

    Warrenton, VA
  • Expertise and fluency in AI/ML techniques.
  • Design, build, and maintain Extract, Transform, and Load (ETL) pipelines using industry best practices.
  • Work with data management teams to design transform scripts in languages like Python to convert raw data to standardized data schemas.
  • Implement and manage containerization strategies using Open Shift/Kubernetes.
  • Collaborate with development teams to integrate CI/CD pipelines into the software development lifecycle.
  • Monitor and optimize system performance, reliability, and availability.
  • Automate infrastructure and application deployment processes.
  • Ensure security best practices are implemented throughout all Dev Ops procedures.
  • Troubleshoot and resolve issues in development, test, and production environments.
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