Lead AI/ML Integration for Cyber Defense — TS Clearance

Metric5; Fort Belvoir (VA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health & Dental Insurance

Vision Insurance

Life Insurance

401k

Paid Vacation

9 Holidays + 2 floating holidays

Professional Development Reimbursement

Tuition Assistance

Job summary

Metric5 in the United States seeks an AI/ML Integration Tech Lead with Active Top Secret clearance to drive strategy, architecture, and governance for the DCO platform. You will guide real-time data pipelines, set security controls, and collaborate with cross-functional teams to scale AI across petabyte-scale cyber defense data.

This leadership role demands hands-on ML expertise, mentoring, and the ability to balance rapid prototyping with rigorous validation.

Qualifications

• 8+ years of experience designing and building data-intensive solutions using distributed computing.
• Ability to design, build, and deliver production ML models and components at scale.
• Proficiency in Python, Scala, or Java; strong problem-solving skills.
• Experience mentoring junior engineers and advising leadership on technical decisions.
• Security, risk management, and DoD/accreditation familiarity is a plus.

Responsibilities

• Define multi-year AI/ML technical roadmap for real-time predictive defense.
• Architect scalable ML pipelines handling massive telemetry throughput.
• Prototype novel AI/ML concepts and agentic workflows.
• Lead integration with SOC/SIEM/SOAR platforms and ensure secure lifecycle governance.

Skills

Python

Scala

Java

Mentoring

Leadership

Education

Bachelor's degree in Computer Science/Math/Stats

Master's or PhD in CS/EE/Math

Job description

Metric5 in the United States seeks an AI/ML Integration Tech Lead with Active Top Secret clearance to drive strategy, architecture, and governance for the DCO platform. You will guide real-time data pipelines, set security controls, and collaborate with cross-functional teams to scale AI across petabyte-scale cyber defense data.

This leadership role demands hands-on ML expertise, mentoring, and the ability to balance rapid prototyping with rigorous validation.