Machine Learning Engineer (TS/SCI)
Core
Design, implement, and evaluate machine learning solutions leveraging multi-INT data to deliver scalable AI/ML and Automatic Target Recognition (ATR) solutions for mission needs.
Role type
Senior IC machine learning engineer (computer vision, geospatial)
Builds
Scalable, high-performance AI/ML and ATR solutions
Domain
Defense / Geospatial Intelligence / Computer Vision
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, GDAL, GeoPandas, Shapely, Machine Learning lifecycle management, Data analysis, Version control, Model reproducibility
Preferred skills
Docker, Kubernetes, DevSecOps, CI/CD pipelines, Linux, Multiparadigm programming (Java, Go, Rust), Software design
Technologies
PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, GDAL, GeoPandas, Shapely, Docker, Kubernetes
Responsibilities
Design and implement ML solutions using multi-INT data; Develop ML Ops pipelines for CI/CD of computer vision models; Collaborate with engineers, clients, and users; Develop analytics/derivative data products; Implement best practices for version control and model governance.
Seniority
Senior, hands-on IC