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**New AI Engineering Program at Fort Meade** Prime contractor supporting new AI initiatives at Fort Meade. This is a new award and we are hiring across 50+ openings ranging from junior to senior-level AI/ML engineers and related technical roles. Opportunities involve building and improving ML models, data pipelines, and scalable AI solutions in mission-focused environments. Active TS/SCI FSP required. Job Description: Designs, develops, tests, and deploys AI/ML solutions to solve complex mission and business challenges. Builds and improves machine learning models, integrates data pipelines, applies performance metrics, and supports scalable AI/ML systems across application development, infrastructure, data engineering, and governance environments. May lead distributed teams and serve as a primary AI/ML point of contact. Qualifications: Experience selecting datasets, performing statistical analysis, running ML algorithms, and improving models through training/retraining and user feedback Experience with ML libraries, testing/evaluation protocols, and system integration oversight Experience in applied machine learning experience on programs of similar scope and complexity Bachelor’s degree in Mathematics, Computer Science, or related STEM field (or 4 additional years of relevant experience in lieu of degree) Active TS/SCI with Poly required Experience deploying, scheduling, monitoring, and optimizing scalable ML models required
**New AI Engineering Program at Fort Meade** Prime contractor supporting new AI initiatives at Fort Meade. This is a new award and we are hiring across 50+ openings ranging from junior to senior-level AI/ML engineers and related technical roles. Opportunities involve building and improving ML models, data pipelines, and scalable AI solutions in mission-focused environments. Active TS/SCI FSP required. Job Description: Designs, develops, tests, and deploys AI/ML solutions to solve complex mission and business challenges. Builds and improves machine learning models, integrates data pipelines, applies performance metrics, and supports scalable AI/ML systems across application development, infrastructure, data engineering, and governance environments. May lead distributed teams and serve as a primary AI/ML point of contact. Qualifications: Experience selecting datasets, performing statistical analysis, running ML algorithms, and improving models through training/retraining and user feedback Experience with ML libraries, testing/evaluation protocols, and system integration oversight Experience in applied machine learning experience on programs of similar scope and complexity Bachelor’s degree in Mathematics, Computer Science, or related STEM field (or 4 additional years of relevant experience in lieu of degree) Active TS/SCI with Poly required Experience deploying, scheduling, monitoring, and optimizing scalable ML models required
**New AI Engineering Program at Fort Meade** Prime contractor supporting new AI initiatives at Fort Meade. This is a new award and we are hiring across 50+ openings ranging from junior to senior-level AI/ML engineers and related technical roles. Opportunities involve building and improving ML models, data pipelines, and scalable AI solutions in mission-focused environments. Active TS/SCI FSP required. Job Description: Designs, develops, tests, and deploys AI/ML solutions to solve complex mission and business challenges. Builds and improves machine learning models, integrates data pipelines, applies performance metrics, and supports scalable AI/ML systems across application development, infrastructure, data engineering, and governance environments. May lead distributed teams and serve as a primary AI/ML point of contact. Qualifications: Experience selecting datasets, performing statistical analysis, running ML algorithms, and improving models through training/retraining and user feedback Experience with ML libraries, testing/evaluation protocols, and system integration oversight Experience in applied machine learning experience on programs of similar scope and complexity Bachelor’s degree in Mathematics, Computer Science, or related STEM field (or 4 additional years of relevant experience in lieu of degree) Active TS/SCI with Poly required Experience deploying, scheduling, monitoring, and optimizing scalable ML models required