Programs Management Analytics and Technologies, Inc.
AI ML Engineer SME
Programs Management Analytics and Technologies, Inc., San Diego, California, United States, 92189
About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter.
Whether you're an experienced engineer or just beginning your career, you'll work alongside experts who are committed to solving mission-critical problems. If you're passionate about using your skills to make a real difference, apply today and become part of a team that's shaping the future of defense technology!
About the role: As an AI/ML Subject Matter Expert at NAVWAR in San Diego, 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. In this mission-critical position, your expertise will help shape the future of autonomous naval warfare and analytic decision support.
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. 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. Preferred 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 Education and Certification Requirements:
Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field plus a minimum of 6 years of AI/ML experience in defense or intelligence environments. OR a Bachelor's degree in the above fields plus at least 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 preferred Location:
San Diego, CA, NAVWAR
Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and potentially for business development.
#CJ
Whether you're an experienced engineer or just beginning your career, you'll work alongside experts who are committed to solving mission-critical problems. If you're passionate about using your skills to make a real difference, apply today and become part of a team that's shaping the future of defense technology!
About the role: As an AI/ML Subject Matter Expert at NAVWAR in San Diego, 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. In this mission-critical position, your expertise will help shape the future of autonomous naval warfare and analytic decision support.
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. 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. Preferred 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 Education and Certification Requirements:
Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field plus a minimum of 6 years of AI/ML experience in defense or intelligence environments. OR a Bachelor's degree in the above fields plus at least 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 preferred Location:
San Diego, CA, NAVWAR
Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and potentially for business development.
#CJ