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Experience with data science, machine learning, and/or artificial intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission to defend against evolving threats around the world.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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The N910 MD must be familiar with the missions, organizations and technical areas of key importance to the NSA and USCYBERCOM. These include cybersecurity; joint cyber operations; collection, exploitation, and analysis of signals intelligence; multi-domain operations; modeling and simulation; computer and analytic sciences; reverse engineering; and automation, artificial intelligence, and machine learning.
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Leidos is hiring for a Cyber Research Scientist / Tech Lead in Columbia, MD. You will serve on a mission-critical project that will leverage your skills to ensure delivery of a premier Security Operations Center (SOC) prototype solution to the customer.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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The VP of Operations is responsible for top grading and developing the management team, fostering a culture of safety, quality, entrepreneurial mindset, team building and learning. From the first truly wireless tattoo machine, to the groundbreaking novel tattoo parlor on a cruise ship, BAA has cultivated the industry and been the “first of many.
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Founded in 2010, BrainTrust is an ever-growing and evolving company, with focus areas of Software Engineering (Machine Learning, Cloud Computing, HPC, Data Mining, HLT), Mission Operations (System Integration, Sensors, Deployment, Training, Support), and System Engineering (System Design, Requirements, Process Engineering, Resource Allocation.
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SAIC’s National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, SecDevOps, cloud network operations, and secure communications.
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Description SAIC's National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, SecDevOps, cloud network operations, and secure communications.
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Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science. Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (e.g. Python), statistical analysis, data management, data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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System design and software implementation of proof-of-concept prototypes incorporating a variety of engineering disciplines: control theory, software development, signal/video processing, pattern recognition, machine learning, artificial intelligence, high performance computing, applied mathematics, network/web services, and visualization.
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Experience with or knowledge of programmatic challenges and needs for systems integration in the following areas: Artificial Intelligence/Machine Learning, IT, Desk top support, Cyber Security and Software Development.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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From towers to processors, we design, develop, integrate and manage the sensors, systems and other assets necessary to support integrated intelligence, surveillance and reconnaissance (ISR) operations, exploitation and analysis for the Intelligence Community, the military services, geographic and functional combatant commands and DoD agencies.
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The MITRE Intelligence Center is seeking a Managing Director (MD) for its Cryptologic and Cyber Operations Division, N910, located at MITRE’s Fort Meade campus. Setting and managing overhead and indirect budgets for division operations.
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operations machine learning jobs in Fort Meade, MD
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