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LMI
Aug 21, 2026
Full time
AI/ML Engineer - Clearance Required
LMI Remote, UNAVAILABLE
Overview LMI is seeking an Artificial Intelligence and Machine Learning (AI/ML) Engineer to support a Special Operations Command (SOCOM) mission partner with production machine learning, predictive forecasting, natural language processing, generative AI, and real-time decision-support capabilities. The AI/ML Engineer will design, implement, optimize, integrate, and sustain scalable AI/ML solutions within secure web-based applications and enterprise workflows. This position will work as part of a cross-functional data science product team to translate validated models into reliable operational capabilities while advancing reusable engineering patterns, governance, security, documentation, and enterprise AI/ML best practices.   LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to...
General Dynamics Mission Systems, Inc
Jun 02, 2026
Data Ontology Engineer
General Dynamics Mission Systems, Inc UNAVAILABLE, UNAVAILABLE
Basic Qualifications Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus a minimum of 6 years of relevant experience. Responsibilities for this Position What You'll Own Domain ontologies. Design and maintain semantic schemas that describe key engineering and manufacturing entities — products, BOMs, plants, equipment, processes, work orders — and their relationships across systems. Knowledge graphs. Implement ontologies using semantic web or graph technologies (RDF/OWL/SHACL/SPARQL or property-graph equivalents like Neo4j). Build, query, validate, and tune knowledge graphs in production. Data alignment. Integrate heterogeneous data sources — PLM, ERP, MES, CMMS, QMS, data lakes — into a common vocabulary. Align schemas, code sets, and master data to the ontology so AI services see one coherent picture....
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