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2 ai machine learning engineer jobs found

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Onsite ai machine learning engineer MD
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SAIC
Jun 03, 2026
AI Engineer Associate
SAIC MD
Description SAIC is seeking a machine learning engineer with hands-on experience deploying machine learning and artificial intelligence models. Experience with on-premises deployment of large language models (LLMs) is desired. The candidate will join the dynamic team at the Identity and Data Sciences Laboratory (IDSL). The IDSL is tasked with evaluating how new AI technologies can be best integrated into operational use-cases across the US government. We are investigating how AI systems can improve process efficiency and effectiveness as well as how to optimally team AI systems with human operators. Our engineers enjoy a great work-life balance and work in an environment that promotes learning and exploration. The IDSL is based in Upper Marlboro, MD. Up to 20% travel is expected within the continental US. This is a hybrid position with 3 days per week expected in the office. Responsibilities: Deploy, configure, and maintain machine learning models and large language models...
SAIC
Jun 17, 2026
Data Scientist Associate
SAIC MD
Description SAIC is looking for a Data Scientist Associate to help the Identity and Data Sciences Laboratory (IDSL) which is tasked with identifying state-of-the-art technologies including facial recognition and AI, evaluating performance, and examining their applicability to existing or emerging customer use cases. The IDSL has a cutting-edge infrastructure consisting of both on-prem distributed computing clusters and cloud based analytic environments, which we use for gathering and processing multi-modal data in real-time from large-scale experiments conducted at our test facility (Maryland Test Facility; company website), in field locations, as well as from external data sources. Hybrid - 3 Days in Office / 2 Days Remote What You Will Be Doing: Contribute to data acquisition, management, and processing tasks, working with senior data scientists, software engineers and evaluation designers to build efficient data pipelines Access available infrastructure, and to...
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