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Skill using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methods.
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The Institute is seeking to hire a Senior Policy Advisor with a focus on artificial intelligence and its implications for workers, workplaces, and democracy. Advance the AFL-CIO Technology Institute's policy agenda on artificial intelligence and technology, including worker rights frameworks for the use of artificial intelligence in the workplace, procurement policy, civil rights and racial justice protections, and funding requirements for government funded research on AI.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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The successful candidate will interface directly with counsel and engineers at both established and emerging tech clients, gaining exposure to subject matter areas such as artificial intelligence, cloud computing, rockets and space-oriented payload delivery, automation, computer networking, encryption, graphics and animation, and computer gaming/e-sports.
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3+ years of experience with artificial intelligence, data science, ML engineering, data research, software engineering, or data analytics. Project work in deep learning, computer vision, NLP, or chatbot development.
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Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology. Department Summary: MITRE's Artificial Intelligence Innovation Center's Robotics and Autonomous Systems Department is an innovative team of engineers focused on the development of cutting-edge autonomous systems, robotics capabilities, and AI solutions for a safer world.
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Experience with Data Science and Artificial Intelligence in DoD and IC communities. Strategic-to-Tactical experience in intelligence operations, with experience in one or more of the following: aUS Combat Support Agency (e.g. NSA, NGA, DIA, or NRO), a Service Intelligence Center (e.g. MCIA, NGIC, NASIC), or a Service HQ Intelligence organization (e.g. USMC DIRINT, USA G2, DAF A2, CNO N2, or JS J2.
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Our customers leverage our professional analysts, analytics, and artificial intelligence to make profitable crypto investments. Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions.
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Build capabilities in key technologies that enable tax professionals for client service delivery such as artificial intelligence (AI), Alteryx, Power BI, and more. Ability to learn and navigate technologies such as artificial intelligence (AI), Alteryx and Power BI.
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The HPC team engages with projects across MITRE to build and support computing environment for Artificial Intelligence, Data Analysis, Modeling and Simulation, and more. This is an exciting opportunity for a highly technical candidate seeking to be part of a collaborative team that leverages automation, artificial intelligence (AI), and advanced computing to deliver AI and HPC services to MITRE organization and its sponsors.
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The Department of Defense’s (DoD) Chief Digital and Artificial Intelligence Office (CDAO) is at the forefront of supporting the DoD with the adoption of innovative technologies such as data, analytics, and artificial intelligence to help accelerate predictions, forecasts, and interpretations for both strategic and tactical decisions across the enterprise.
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Experience in artificial intelligence fields, such as computer vision, deep learning, machine learning, planning, human machine teaming, and multi-robot systems. Degree in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on artificial intelligence, machine learning, or robotics.
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Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.
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The Department of Computer Science has 25 teaching-track faculty and 56 tenured and tenure-track faculty with wide-ranging research interests, and strong research groups in cybersecurity, systems and networks, machine learning and data mining, artificial intelligence, robotics, visual computing, theory, databases, bioinformatics, HCI, and software engineering.
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Keywords: AI, Artificial Intelligence, Machine Learning, AI/ML, ML, DevSecOps, Zero Trust, Linux, Windows, ITSM, IaC, SIEM, SOAR, CI and CD, endpoint security management, Hyattsville, Silver Spring, Laurel, Bowie, Clinton, Washington DC, District of Columbia, CISSP-ISSAP / ISSEP, TS/SCI, Top Secret.
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