Principal Data Scientist
Role details
Job location
Tech stack
Job description
Our LOE program provides our customer's Operations organization with the best possible solutions for their mission needs. We achieve this through rapid prototyping, new development, and advanced technology research. From leading-edge visualizations to analytic development, we're always pushing the boundaries to find new and better data sources and tradecraft to answer intelligence questions. With a focus on collaboration and a fast-paced environment, our prototype development program is the ideal place to grow your skills and make a real impact. Clickhereto learn more about how this program "Delivers Mission Success!"
Seeking a motivated AI/ML Engineer to support the exciting Corporate Discovery Services mission. The AI/ML Engineer will act as the critical bridge between data science and software engineering mission capturing requirements from stakeholders to deliver robust, scalable, and functional innovative prototypes and deploy solutions., * Mission Focus: Use Machine Learning Operations (MLOps) set of practices to automate and standardize the lifecycle of machine learning models, from development and training to deployment and monitoring, borrowing principles from DevOps to ensure reliable, efficient, and scalable ML systems in production. Create Machine Learning, Generative AI Large Language Models (LLM), Retrieval Augmented Generation (RAG), and Agentic AI AI/ML pipelines.
Requirements
- Technical Proficiency: Proficiency in Python with TensorFlow, PyTorch, Scikit-learn, Keras, PySpark, vLLM, and NVIDIA CUDA (Compute Unified Device Architecture) libraries. Strong grasp of version control (GitLab), Continuous Integration/Continuous Deployment (GitLab CI/CD), and containerization (Docker, Kubernetes).
- Qualifications: Bachelor's degree in computer science or related technical field plus a minimum of eleven (11) to fifteen (15) years of relevant experience.
- Security Clearance Requirement: Candidates must possess an active TS/SCI with Polygraph to be considered for this role.
- Desirable Skills: MLOps, AWS SageMaker, AWS Bedrock, Gambit, Hub, Jira, Confluence, Docker Hub.
Benefits & conditions
$154,050.00 - $278,475.00 / yr paid time off, paid holidays, 401(k) United States, Maryland, Fort Meade Mar 11, 2026, Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.