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Design, develop, and deploy machine learning models and data pipelines for naval applications. Build and optimize distributed, cloud-native analytics and event-streaming systems, work with multiple data formats and GIS tools, containerize and monitor deployments, apply DoD security practices, and collaborate with multidisciplinary teams to deliver mission-ready AI solutions in shipboard and operational Navy environments.

Design and implement scalable data architecture and storage (cloud/on-prem), build and maintain ETL pipelines, enforce data governance and security, ensure data quality, evaluate technologies, collaborate with analysts and data scientists, and document data assets.

Lead design, development, and deployment of machine learning models and cloud-native MLOps pipelines for naval/DoD applications. Work across multidisciplinary teams to implement scalable, secure ML solutions, support CI/CD and DevSecOps, and meet shipboard and operational requirements.