Senior Machine Learning (ML) Engineer

Senior Machine Learning (ML) Engineer

• 100% Remote Work
• Immediate Start
• Candidates must be authorized to work in the U.S. without the need for current or future employer visa sponsorship.

We’re hiring a Machine Learning (ML) Engineer to design, scale, and deploy enterprise AI/ML solutions in secure GovCloud environments.

If you know how to push cutting-edge models into production while navigating the strict compliance and high-availability demands of regulated infrastructure, we want you on the team.

The Tech Stack & Focus:

• Databricks Ecosystem: MLflow, Unity Catalog, Delta Lake, and distributed training
• Cloud Infrastructure: AWS GovCloud or Azure Government (FedRAMP, IL4/IL5 environments)
• Core Engineering: Python, PySpark, SQL, Docker, and Kubernetes
• Production MLOps: End-to-end model monitoring, CI/CD pipelines, automated retraining, and strict security posture

What You Bring:

• Proven track record deploying production ML pipelines inside high-security cloud boundaries
• Deep expertise in building governed data & feature pipelines using Databricks
• Experience balancing high-performance model serving with federal/enterprise security controls
• Active Security Clearance or Eligibility for the same is a HUGE PLUS!