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SAIC is seeking a
Secret cleared AI/Machine Learning Subject Matter Expert
in support of NAVWAR's Naval Operational Architecture (NOA) Program in San Diego, CA. In this role, you'll 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 Navy's command networks with AI-driven analysis, prioritizing speed, resilience, and operational superiority. Work is performed on site in San Diego, CA. Responsibilities:
Design and implement computer vision algorithms for object detection, tracking, and environmental perception. Analyze and integrate data from various sensor modalities including EO/IR cameras, LIDAR, and radar. Develop scalable data pipelines and orchestrate workflows using Apache Airflow and AWS services. Write efficient Python code and shell scripts for deployment and automation tasks. Work in a Linux development environment, emphasizing scripting, debugging, and system-level operations. Collaborate with cross-functional teams including ML engineers, software developers, and systems integrators. Qualifications
Education and Yrs of Experience Requirements: Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field and six (6) years of experience in AI/ML experience in defense or intelligence environments. OR Bachelor's 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). Citizenship and Clearance requirements: US Citizenship required. No dual citizenship. Active Secret clearance required; TS SCI clearance. Required Skills and Experience: Six (6) or more years of experience and a strong background in Machine Learning and Computer Vision, including classical techniques and deep learning-based approaches. Proficiency with Python and Bash scripting. Experience with Apache Airflow and AWS Cloud for data orchestration and workflow automation. Practical experience working with Unmanned Surface Vehicles (USVs), or similar autonomous platforms such as UAVs, UUVs, and/or Intelligence, Surveillance, and Reconnaissance (ISR) platforms. Hands-on experience with computer vision libraries such as OpenCV, PyTorch, TensorFlow, etc. Comfortable operating in Linux environments for development and deployment tasks. Skills and Experience: Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes) for scalable deployment. Understanding of ML Ops practices including CI/CD pipelines, model versioning, and automated retraining. Experience with real-time systems and latency-sensitive applications in robotics or surveillance. Prior work with defense, maritime, or aerospace systems, especially involving autonomy or ISR missions. SAIC is an Equal Opportunity Employer.
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Secret cleared AI/Machine Learning Subject Matter Expert
in support of NAVWAR's Naval Operational Architecture (NOA) Program in San Diego, CA. In this role, you'll 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 Navy's command networks with AI-driven analysis, prioritizing speed, resilience, and operational superiority. Work is performed on site in San Diego, CA. Responsibilities:
Design and implement computer vision algorithms for object detection, tracking, and environmental perception. Analyze and integrate data from various sensor modalities including EO/IR cameras, LIDAR, and radar. Develop scalable data pipelines and orchestrate workflows using Apache Airflow and AWS services. Write efficient Python code and shell scripts for deployment and automation tasks. Work in a Linux development environment, emphasizing scripting, debugging, and system-level operations. Collaborate with cross-functional teams including ML engineers, software developers, and systems integrators. Qualifications
Education and Yrs of Experience Requirements: Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field and six (6) years of experience in AI/ML experience in defense or intelligence environments. OR Bachelor's 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). Citizenship and Clearance requirements: US Citizenship required. No dual citizenship. Active Secret clearance required; TS SCI clearance. Required Skills and Experience: Six (6) or more years of experience and a strong background in Machine Learning and Computer Vision, including classical techniques and deep learning-based approaches. Proficiency with Python and Bash scripting. Experience with Apache Airflow and AWS Cloud for data orchestration and workflow automation. Practical experience working with Unmanned Surface Vehicles (USVs), or similar autonomous platforms such as UAVs, UUVs, and/or Intelligence, Surveillance, and Reconnaissance (ISR) platforms. Hands-on experience with computer vision libraries such as OpenCV, PyTorch, TensorFlow, etc. Comfortable operating in Linux environments for development and deployment tasks. Skills and Experience: Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes) for scalable deployment. Understanding of ML Ops practices including CI/CD pipelines, model versioning, and automated retraining. Experience with real-time systems and latency-sensitive applications in robotics or surveillance. Prior work with defense, maritime, or aerospace systems, especially involving autonomy or ISR missions. SAIC is an Equal Opportunity Employer.
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