Design, develop, and deploy AI-enabled data solutions and ML pipelines for the DoD's CDAO ADA IR program. This role blends statistical modeling expertise with software engineering rigor to transform raw defense data into actionable intelligence at Combatant Commands.
What you'll do
- Design and build scalable data pipelines and pre-processing workflows in secure, containerized DoD environments
- Develop feature engineering strategies and machine learning models from training through operational deployment
- Deploy ML services supporting mission-critical decision-making across multiple global locations (Combatant Commands)
- Collaborate with product managers, full-stack developers, and platform engineers to translate raw intelligence data into actionable insights
- Implement data validation, model testing, and performance monitoring in production ML systems
- Communicate complex analytical findings and technical architecture decisions to non-technical mission stakeholders
- Contribute to agile development practices emphasizing reproducibility, automated testing, and continuous delivery
Mission
This position supports the Department of Defense's Chief Digital and AI Officer (CDAO) Advanced Development and Adoption (ADA) Intelligence and Reconnaissance (IR) program. The work directly enables mission-critical analytics and decision-support tools across multiple combatant commands, requiring close collaboration with product managers, platform engineers, and DoD stakeholders.
Required skills
- Python
- SQL
- Spark/PySpark/Databricks
- Applied machine learning
- Data pipeline development
- Statistical modeling
- Feature engineering
- Distributed data frameworks