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Contingent AI Engineer

Remote / Online - Candidates ideally in
Washington, District of Columbia, 20022, USA
Listing for: RESOURCE METRIX
Remote/Work from Home position
Listed on 2026-01-03
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: CONTINGENT AI Engineer

Benefits:

  • Bonus based on performance
  • Competitive salary
  • Paid time off

Client

Summary:

Internal Revenue Service (IRS) – Unified Application Programming Interface (UAPI) Program. UAPI modernizes IRS data access with secure APIs integrating legacy systems, modern databases, and AI/ML workflows. Work is primarily remote with limited on‑site needs in Lanham, MD;
Washington, DC;
Ogden, UT; and Farmers Branch, TX.

Eligibility & Suitability: U.S. citizen or Lawful Permanent Resident (position risk level dependent). Must pass IRS contractor staff‑like access screening: RAC, fingerprints (USAccess), eAPP (as needed), tax compliance check, Selective Service (males born after 12/31/1959), Security Awareness Training/UNAX, and role‑based cybersecurity training. Work involves SBU/FTI and requires adherence to IRM 10.5/10.8, Publication 4812, encryption, incident reporting (CSIRC/TIGTA), and Section 508 documentation/support.

Position Summary:

Build AI/ML services for the IRS UAPI modernization effort. Deploy models, design API inference pipelines, and support ALC workflows.

Responsibilities:
  • Design and train ML models supporting ALC.
  • Deploy models using MLflow, Sage Maker, or Vertex AI.
  • Build API endpoints for inference.
Qualifications:
  • 3–5+ years in ML engineering.
  • Experience with Python, PyTorch/Tensor Flow, MLflow.
  • Experience deploying ML models in production.

This is a remote position.

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