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The JCO serves as a focal point for the Department of Defense to synchronize and integrate C-sUAS efforts for all C-sUAS stakeholder (Secretary of Defense, Joint Staff, Services, and Inter-Agency) CONUS and OCONUS activities.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography.
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Experience must be with the Department of Defense, Department of Homeland Security, the Federal Bureau of Investigation Department of State, or an equivalent U.S. Government agency and should include training in Military Occupational Specialties 35F, 350F, 35O, 18F, other military service equivalents, or GS-0132 series.
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Deep understanding of marine systems, ocean systems engineering, including machinery, electrical, HVAC, propulsion, mission systems, underwater cable deployment and other shipboard systems.
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As a company with two decades of experience, our clients include the Department of Homeland Security, Federal Protective Services (DHS/FPS); Department of Defense, Pentagon Force Protection Agency (DoD/PFPA), Department of the Army and Department of State, Bureau of Diplomatic Security (DoS/DS) National Aeronautics and Space Administration (NASA), Environmental Protection Agency (EPA) and Department of Energy (DOE.
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Post Graduate Degree TEN (10) or more years' experience selling management consulting or technology solutions to the U.S. Department of Defense Proven success with both capture and demand-generated selling Functional or Technical solutions in the areas described above.
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You will provide direct engineering support to the official Under Secretary of Defense for Research and Engineering OUSD(R&E) and Engineering Prototyping and Experimentation Mission Directorate.
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Ideal candidate would have industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing. A USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field.
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Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
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Relevant experience includes as a civil servant involved with defense or national security matters, as a government official in relevant government department agency, or as an employee of a defense company, think tank, or trade association focused on defense technology, or other similar relevant experience.
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The Modeling and Simulation Analyst will be part of a dynamic team supporting research and engineering on behalf of the Office of the Secretary of Defense at the Pentagon, and Mark Center officers in nearby Alexandria, Virginia.
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Department of Defense, Department of Navy, and/or United States Air Force experience. Object oriented programming, physics-based modeling, advanced statistics and mathematics, numerical optimization, machine learning, and Monte Carlo simulation.
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At Advanced Technology Systems Company (ATSC), we empower global defense and government agencies with cutting-edge technology solutions in the areas of border control and force protection/counter-UAS systems, ensuring mission success through relentless innovation, affordability, and unwavering commitment to quality.
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Fifteen (15) years sworn law enforcement experience with a minimum of five (5) years in an upper-level supervisory capacity of Lieutenant or other law enforcement equivalent or higher rank in a comparable or larger Police Department.
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machine learning engineering intern department of defense jobs Title: research intern in Arlington, VA
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