Senior Machine Learning Engineer

Overview

Our clients, a rapidly growing/expanding AI-focused software development company supporting federal agencies, is seeking a Senior MLOps Engineer.

About the Organization

Delivers mission-critical technology for those who protect what matters. Builds AI-enabled capabilities purpose-built for federal law enforcement and national security partners. Work sits at the intersection of artificial intelligence, cybersecurity, and identity technology. Operates with a startup mentality focused on technical depth, creative problem-solving, and ownership.

Work Location

• Remote (U.S.) or McLean, VA

• McLean, VA office available for on-site or hybrid work

• Occasional travel to McLean, VA may be required for team onsites, planning sessions, or infrastructure work requiring physical access

• Schedule: Monday–Friday; occasional off-hours availability for infrastructure incidents, deployment windows, or training job monitoring

Role Summary

Own infrastructure supporting AI/ML systems, including pipelines, deployment, and GPU environments.

Key Responsibilities

• Build GPU infrastructure

• Develop CI/CD pipelines

• Automate deployments

• Optimize inference

• Implement monitoring

• Manage infrastructure as code

• Collaborate with ML teams

Required Qualifications

• 5\+ years MLOps/DevOps

• AWS expertise

• Terraform experience

• Docker and GPU knowledge

• Python/Bash scripting

• ML lifecycle knowledge

Preferred Qualifications

• Generative AI experience

• Air-gapped environments

• MLflow or W\&B

• Federal experience

What Success Looks Like

• 30 days: Understand systems

• 90 days: Improve pipelines

• 6 months: Scale infrastructure

Compensation \& Benefits

• Fully paid medical, dental, and vision insurance premiums

• 10% company contribution to a Vanguard-sponsored 401(k) plan, vested immediately

• 7 weeks paid time off, accrued semi-monthly

• Life, short-term, and long-term disability insurance

• Dependent care and health FSA accounts

• $5,000 annual professional development and tuition reimbursement

• $200 monthly communication allowance

• $2,000 technology allowance every two years

• Employee equity plan