AI/ML Engineer - TS/SCI + CI Polygraph Required
On-site · Washington, District of Columbia, United States
Job Summary
Defines, develops, and delivers machine learning models and AI solutions for intelligence applications. Tests, deploys, and maintains AI systems ensuring compliance with the DIA Quality Assurance Framework (QAF). Optimizes AI models for performance, scalability, efficiency, and accuracy, including data preprocessing and feature engineering. Applies machine learning algorithms to large sets of structured and unstructured data for pattern recognition, target detection and tracking, predictive analytics, and decision support systems. Conducts model validation, bias testing, and performance monitoring to ensure AI systems meet operational and ethical standards. Documents AI/ML methodologies and maintains comprehensive model cards for QAF accreditation.
Required Qualifications
- Active TS/SCI + CI Polygraph clearance
- Bachelor's degree in Computer Science, Mathematics, Data Science, or related field (Master's preferred) with 4-12+ years of AI/ML experience
- Proficient with TensorFlow and PyTorch
- Experience with model deployment and production ML**
- Experience with model optimization, hyperparameter tuning, and feature engineering
- Familiarity with MLOps, model monitoring, and CI/CD for ML
- Experience with cloud ML platforms (AWS SageMaker, Azure ML, Google Vertex AI)
- Understanding of DIA QAF requirements and model documentation standards
- Experience with model validation, testing, and performance metrics
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