About this opportunity
Barbaricum lists this NSWC- Senior AI/ML Engineer (Computer Engineer IV)- Bedford, IN opportunity in bedford, Indiana. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent.
Headquartered in Washington, DC’s historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation’s most complex and rewarding challenges. Join our team.
Barbaricum is seeking a highly experienced Senior AI/ML Engineer to support Software & Cyber Engineering for the Maneuver, Surveillance, & Engagement Division at NSWC Crane . This position will lead efforts in engineering, building, testing, and deploying advanced cloud-enabled AI/ML solutions that enhance warfighter capabilities in surveillance, targeting, and engagement operations.
Responsibilities
Partner with project managers and engineering teams to define objectives for AI/ML systems in support of maneuver, surveillance, and engagement missions.
Develop and prototype AI/ML systems to address mission-specific requirements, including computer vision, sensor fusion, and decision-support applications.
Conduct rigorous testing and evaluation of AI/ML performance against operational datasets.
Analyze test data to identify model strengths, weaknesses, and mission relevance.
Refine and optimize systems to ensure robustness, scalability, and cyber resilience.
Troubleshoot complex system challenges and provide technical guidance for deployed solutions.
Deliver comprehensive documentation and technical reports to stakeholders.
Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber defense techniques relevant to mission-critical systems.
Qualifications
Bachelor’s degree in Computer Science, Engineering, or related technical discipline (Master’s preferred).
10+ years of progressive experience in AI/ML engineering, software development, or applied data science.
Expertise in developing, deploying, and securing AI/ML applications within mission-critical or defense environments.
Demonstrated experience with LLMs, RAG, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow).
Experience using AWS GovCloud (COSMOS) or comparable secure cloud environments to develop, train, test, and evaluate AI/ML models while leveraging scalable computing resources to support software and cyber engineering initiatives.
DoD 8570 Advanced certification (e.g., SecurityX, GCSA, CCSP, or equivalent) must be obtained and maintained.
EEO Commitment
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.
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Worksite address
bedford, IN, 47421, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.