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Senior Machine Learning Engineer

Razor Talent

Senior MLOps Engineer

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

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

Vacancy posted 3 days ago
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