Senior Machine Learning Engineer

Role Overview

RAZOR is seeking a Senior Machine Learning Engineer (MLOps Engineer) to own the infrastructure supporting AI/ML systems, including pipelines, deployments, and GPU environments.

Responsibilities

• Build and maintain GPU infrastructure for ML workloads
• Develop CI/CD pipelines for ML system delivery
• Automate deployments and infrastructure operations
• Optimize inference performance
• Implement monitoring for ML systems
• Manage infrastructure using Infrastructure as Code
• Collaborate with ML teams to support the end-to-end ML lifecycle

Required Qualifications

• 5+ years experience in MLOps/DevOps
• Strong AWS expertise
• Terraform experience
• Knowledge of Docker and GPU environments
• Python and/or Bash scripting
• Understanding of the ML lifecycle

Preferred Qualifications

• Generative AI experience
• Air-gapped environment experience
• Experience with MLflow or Weights & Biases (W&B)
• Federal experience

Work Location / Schedule

• Remote (U.S.) or McLean, VA (on-site or hybrid)
• Monday–Friday; occasional off-hours availability for incidents, deployment windows, or monitoring