Senior Machine Learning Engineer Job at Clearance Jobs in San Diego

divh2Secret Cleared Ai/Machine Learning Subject Matter Expert/h2pSAIC is seeking a Secret cleared AI/Machine Learning Subject Matter Expert in support of NAVWARs Naval Operational Architecture (NOA) Program in San Diego, CA. In this role, youll help drive the innovation of autonomous, AI-enabled systems for the Naval Operational Architecture that supports distributed maritime operations. You will translate sensor-derived data into real-time decision triggers, supporting initiatives. Your contributions will play a pivotal role in enhancing the Navys command networks with AI-driven analysis, prioritizing speed, resilience, and operational superiority. In this mission-critical position, your expertise will help shape the future of autonomous naval warfare and analytic decision support. This is a recently awarded contract, funded for five years. Work is performed on site in San Diego, CA. Responsibilities include:/pulliDesign and implement computer vision algorithms for object detection, tracking, and environmental perception./liliAnalyze and integrate data from various sensor modalities including EO/IR cameras, LIDAR, and radar./liliDevelop scalable data pipelines and orchestrate workflows using Apache Airflow and AWS services./liliWrite efficient Python code and shell scripts for deployment and automation tasks./liliWork in a Linux development environment, emphasizing scripting, debugging, and system-level operations./liliCollaborate with cross-functional teams including ML engineers, software developers, and systems integrators./li/ulpQualifications include:/pulliMasters degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field and six (6) years of experience in of AI/ML experience in defense or intelligence environments./liliOR Bachelors Degree in the above fields plus at least eight (8) years of relevant defense-oriented AI/ML experience (e.g., modeling, operational deployment, systems integration)./li/ulpCitizenship and Clearance requirements include:/pulliUS Citizenship required./liliNo dual citizenship./liliActive Secret clearance required; TS SCI clearance preferred./li/ulpRequired Skills and Experience include:/pulliSix (6) or more years of experience and a strong background in Machine Learning and Computer Vision, including classical techniques and deep learning-based approaches./liliProficiency with Python and Bash scripting./liliExperience with Apache Airflow and AWS Cloud for data orchestration and workflow automation./liliPractical experience working with Unmanned Surface Vehicles (USVs), or similar autonomous platforms such as UAVs, UUVs, and/or Intelligence, Surveillance, and Reconnaissance (ISR) platforms./liliHands-on experience with computer vision libraries such as OpenCV, PyTorch, TensorFlow, etc./liliComfortable operating in Linux environments for development and deployment tasks./li/ulpPreferred Skills and Experience include:/pulliProficiency in containerization and orchestration tools (e.g., Docker, Kubernetes) for scalable deployment./liliUnderstanding of ML Ops practices including CI/CD pipelines, model versioning, and automated retraining./liliExperience with real-time systems and latency-sensitive applications in robotics or surveillance./liliPrior work with defense, maritime, or aerospace systems, especially involving autonomy or ISR missions./li/ul/div

In Summary: H2pSAIC is seeking a Secret cleared AI/Machine Learning Subject Matter Expert in support of NAVWARs Naval Operational Architecture (NOA) Program in San Diego, CA . Your contributions will play a pivotal role in enhancing the Navys command networks with AI-driven analysis, prioritizing speed, resilience, and operational superiority .

En Español:

Divh2Secret Cleared Ai/Machine Learning Subject Matter Expert / h2pSAIC está buscando un experto en materia de materias relacionadas con inteligencia artificial o aprendizaje automático (AI) certificado por secretos para apoyar el Programa NAVWARs Naval Operational Architecture (NOA) en San Diego, CA. En este papel, ayudará a impulsar la innovación de sistemas autónomos y habilitados por IA para la arquitectura naval operativa que soporta operaciones marítimas distribuidas. Usted traducirá los datos derivados de sensores en desencadenantes de decisiones en tiempo real, apoyando iniciativas. Sus contribuciones desempeñarán un papel fundamental en mejorar las redes de mando de la Marina con análisis basado en AI, priorizando la velocidad, resistencia y superioridad operacional. Las responsabilidades incluyen:/pulliDiseñar e implementar algoritmos de visión por computadora para la detección de objetos, seguimiento y percepción del entorno./liliAnalisar e integrar datos de diversas modalidades de sensores incluyendo cámaras EO/IR, LIDAR y radar./liliDesarrollar tuberías escalables de datos y orquestar flujos de trabajo utilizando servicios Apache Airflow y AWS./liliWrite códigos Python eficientes y scripts shell para tareas de implementación y automatización./liLiWork en un ambiente de desarrollo Linux, haciendo hincapié en escritura, rastreo de defecto y operaciones a nivel de sistema./liliArabajar con equipos interfuncionales que incluyen ingenieros de sistemas EO / IR, software y integradores.