Machine Learning Engineer (Active Secret Clearance)
Core
Building mission-critical AI systems that monitor performance, manage drift, and sustain deployed models in real-world government use cases.
Role type
Machine Learning Engineer (IC)
Builds
Production ML models, custom analytics, and data engineering pipelines for image, video, text, geospatial, and time series data.
Domain
Government AI / AIOps / Security
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, systems programming (Go, Rust, C++, Java, Scala), data engineering, ETL pipelines, containerization, cloud environments
Preferred skills
Advanced degree in data science/ML/CS, client-server architecture design, agentic systems implementation, unstructured data processing
Technologies
Docker, Kubernetes, PyTorch, TensorFlow, scikit-learn
Responsibilities
Develop machine learning models and custom analytics for mission-critical solutions; orchestrate complex data engineering pipelines in agentic and traditional architectures; contribute to the Chariot AIOps platform; work alongside data scientists, software engineers, and DevOps engineers.
Seniority
Mid-level, hands-on IC