AI and Data Science Engineer (ts/sci Poly)

AI and Data Science Engineer role focused on designing, developing, and deploying AI and data science solutions for government and public sector clients. This involves building and maintaining data pipelines, models, and analytical workflows, translating requirements into production-ready solutions, and collaborating with cross-functional teams. Requires experience with ML frameworks, cloud platforms, and data pipelines.

What you'd actually do

  1. Designing, developing, and deploying machine learning, artificial intelligence, and advanced analytics solutions for government and public sector clients
  2. Building, testing, and maintaining data pipelines, models, and analytical workflows that support scalable and reliable delivery
  3. Translating business and mission requirements into technical designs, prototypes, and production-ready solutions
  4. Collaborating with engineers, data scientists, product teams, and client stakeholders to implement data-driven capabilities
  5. Supporting solution optimization, model performance monitoring, documentation, and continuous improvement activities

Skills

Required

  • Python
  • SQL
  • scikit-learn
  • TensorFlow
  • PyTorch
  • cloud platforms
  • data pipelines
  • model deployment environments

Nice to have

  • Master's degree
  • federal, state, or local government clients
  • ETL processes
  • APIs
  • data integration tools
  • model monitoring
  • MLOps
  • production support processes
  • Git
  • CI/CD pipelines
  • containerization tools
  • dashboards
  • reporting solutions
  • analytical products for business users

What the JD emphasized

  • Active TS/SCI Polygraph security clearance required
  • 4+ years of experience developing and deploying machine learning, artificial intelligence, or advanced analytics solutions

Other signals

  • designing, developing, and deploying machine learning, artificial intelligence, and advanced analytics solutions
  • building, testing, and maintaining data pipelines, models, and analytical workflows
  • translating business and mission requirements into technical designs, prototypes, and production-ready solutions
  • 4+ years of experience developing and deploying machine learning, artificial intelligence, or advanced analytics solutions
  • 2+ years of experience working with cloud platforms, data pipelines, or model deployment environments