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, computer engineering, computer science, or a closely related discipline. Working knowledge of machine learning and deep learning models, including their application within manufacturing environments
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experience of metal additive manufacturing processes Preferred Qualifications: Working knowledge of machine learning and deep learning models, including their application within manufacturing environments
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, computer engineering, computer science, or a closely related discipline. Working knowledge of machine learning and deep learning models, including their application within manufacturing environments
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to solve complex problems including information retrieval/extraction, machine learning/deep learning, and networking Special Requirements: Security, Credentialing, and Eligibility Requirements: Export
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such as SCRUM. Strong foundation in machine learning, deep learning, or computer vision Strong Python development skills and familiarity with git, CLI tooling, VS Code Proficiency with PyTorch and/or
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and approaches to solve complex problems (e.g., information retrieval/extraction, machine learning/deep learning, networking) Experience working with geospatial data and processing workflows and
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to solve complex problems including information retrieval/extraction, machine learning/deep learning, and networking Special Requirements: Export control, no clearance: This position requires access
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center workload trends, Deep Learning (DL) research, analyst reports, competitive landscape, and token economics Cluster Management and Optimization: Oversee the installation, configuration, and management
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, electrical engineering, mechatronics, robotics, computer engineering, computer science, or a closely related discipline. Working knowledge of machine learning and deep learning models, including