Machine Learning Engineer

Applied Information Sciences•Alexandria, VA
•Hybrid

About The Position

This position is contingent upon contract award. We are currently pursuing a proposal and are seeking qualified candidates to include in our submission and identify candidates for future hiring needs on the program once awarded. At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior Data Analytics Engineer. As your initial project assignment, you will support the unique needs of our client as a Machine Learning Engineer. AIS is seeking a Machine Learning Engineer for an AI Engineering contract supporting a federal customer in a hybrid role in the DC/Maryland/Virginia (DMV) area.

Requirements

  • Bachelor’s Degree in Computer Science (or closely related degree).
  • At least 3 years of experience in Software Development, Machine Learning, and/or AI Engineering.
  • Must have hands-on experience with Python, Python DS Tech Stack (tensorflow, scikit-learn, pandas, etc.), Kubernetes, Postgres, and Docker.
  • Must have a strong Python background.
  • Must have a proven track record of building data pipelines, managing the full data lifecycle, and developing and deploying software into production in government environments.
  • Must have an Active Secret Clearance.

Nice To Haves

  • A certification in Data Science, AI, or another related certification is preferred, but not required.

Responsibilities

  • Develop and deploy software into production in government environments.
  • Build data pipelines and manage the full data lifecycle.
  • Optimizes complex SQL; applies advanced data modeling; leads robust ETL/ELT; uses big data technologies (e.g., Spark); enforces governance; implements ML/predictive solutions; manages scalable pipelines.
  • Solves high-complexity integration and performance challenges; runs multiple projects; delivers custom analytics solutions and automation for scale.
  • Sets benchmarks for data quality; drives continuous improvement; makes significant technical decisions with minimal oversight.
  • Leads cross-functional work; mentors engineers; communicates complex insights to senior leaders; integrates multi-stakeholder feedback.
  • Provides strategic consultation, leads client interactions, and advances consulting best practices.

Benefits

  • Employee Ownership
  • Continuous Learning
  • Inclusive Culture
  • Mission-Driven Work
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service