
location_on9115, Santayana Drive, Mantua, Fairfax County, Virginia, 22031, United States
ECS Federal LLC is the federal segment of a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value attracting and developing top talent, fostering a culture that is engaging, accountable, and mission-driven.
The War Data Platform (WDP) is a key initiative within the U.S. Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP focuses on operational warfighting data and aims to accelerate the deployment of artificial intelligence (AI) on the battlefield. Extending to Unclassified, Secret, and Top Secret environments, the platform supports collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and operational analysts.
This position is contingent upon contract award. As a Senior ML Observability Engineer, you will architect and govern the instrumentation and telemetry infrastructure needed to ensure production AI and machine learning models deployed across WDP's multi-enclave environment perform reliably and securely at mission scale. You will be essential to maintaining real-time visibility into model behavior, pipeline execution, and cross-domain access interactions in direct support of Combatant Command and Joint Staff decision-making needs.
In this role, you will design observability architectures supporting AI and machine learning model-serving operations across Unclassified, Secret, and Top Secret enclaves. You will develop semantic conventions and telemetry pipelines that generate latency metrics, error signatures, and operational readiness measurements. Your work will integrate observability capabilities into existing data pipelines and model-deployment workflows to provide mission-relevant monitoring. You will also conduct observability readiness reviews and collaborate with cybersecurity personnel to embed anomaly-detection signals aligned with Zero Trust and DoW cyber standards.
Please note that this position is contingent upon contract award. Candidates must possess a current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI).
This role is based in the National Capital Region, covering the Pentagon, Falls Church, and Fairfax.
ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis of any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, or local jurisdiction law.
Work model: On-site
9115, Santayana Drive, Mantua, Fairfax County, Virginia, 22031, United States
Mantua, Virginia
Active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility. Advanced cloud certification such as AWS Solutions Architect (Professional), AWS DevOps Engineer (Professional), or an equivalent credential. Practical experience with AI/ML model monitoring concepts including model drift detection, performance degradation alerting, and model validation pipelines using frameworks such as TensorFlow, PyTorch, or MLflow. Familiarity with Zero Trust Architecture principles and Risk Management Framework (RMF) requirements. Experience contributing to DevSecOps pipelines and CI/CD workflows in support of production AI/ML model deployment.
Peraton • Herndon, Virginia
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