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As an Information Assurance Engineer, you will identify, analyze, and recommend potential network and security architectures for the underlying infrastructure, on which the customer will develop, test, and operate lifecycle of physical production from ordering through production and distribution.
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The WCL leverages a broad range of expertise in modeling and simulation, rapid prototyping, end-to-end network analysis, and wireless exploitation to advance the state of the art in electromagnetic maneuverability, network intelligence, and wireless protocol security.
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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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Are skilled in and/or have knowledge of machine learning (ML) including frameworks such as PyTorch, TensorFlow. The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nations most critical defense, security, space and science challenges.
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Radio Frequency Machine Learning (RFML) Our Wireless Cyber Capabilities team focuses on providing the U.S. military and intelligence communities with operational advantages by leveraging software-defined radios, commercial cellular equipment, and machine learning to develop advanced capabilities for research and operational prototypes.
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Become a pivotal part of a program that enhances network security and enterprise infrastructure services by utilizing authoritative data sources and sophisticated analytics. Proficiency in one or several of these areas statistical analysis, data mining, advanced analytics, data management, machine learning, artificial intelligence, cybersecurity analytics, or large-scale data repository analytics.
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Prior experience and/or subject matter expertise in service reliability, Network Security, Encryption, Authentication, SFTP, SSH or REST. You know the difference between a POST and a PATCH and you know the reasons for HTTP Status codes 409 and 412.
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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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Leidos is hiring for a Senior Machine Learning Software Engineer 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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