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B.S. in Software Engineering, Computer Science, Graphics or Game Design, or applicable engineering or science field. 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 Leidos has an exciting opening for you, as a Cloud Engineer, to play a critical role with design, engineering, development, deployment, and use of software for the DOMEX Technology Platform (DTP) where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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You will be working closely with our Cloud Architect, Solution Architects, Systems Engineers, Software Engineers, and Operations Engineering/Manager as well as Government counterparts to perform and manage our cloud solution, cloud computing strategy and all associated documentation.
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Experience with hardware, software integration, EO/IR, passive and active radar integration, digital signal processing, and with in-field testing and validation of systems. Doctorate degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, or Software Engineering.
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The Data Engineering Manager will deliver the support for the management and operations of its U.S. Department of State (DOS), Bureau of Population, Refugees, and Migration (PRM) Refugee Processing Center (RPC) Operations.
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Big Data Infrastructure, Cyber Collection & Processing Systems, CyberSecurity, Software Engineering, Security Operations Center Support, Incident Response & Threat Mitigation, Exploitation & Forensics, Data Center & Cloud Services, and Predictive Analytics and Tools.
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Position Summary BayFirst Solutions, a subsidiary of Versar, Inc., is seeking a Senior Security Engineer (DevSecOps) to support the Department of Homeland Security’s Enterprise Engineering Division (EED) within the Office of the Chief Information Officer (OCIO.
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The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools.
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
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Experience with software reverse engineering concepts: static analysis, dynamic analysis, fuzzing techniques creating intellectual capital, white papers, blogs, etc. Work on system integration, signal processing algorithms, and optimization for various cellular standards (e.g., LTE, 5G.
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Master's degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, or Software Engineering. and machine learning software implementation using machine learning libraries, including TensorFlow, Pytorch, or Keras.
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Actuarial Science, Business Administration/Management, Commerce, Computer and Information Science, Computer Applications, Computer Engineering, Computer Engineering & Accounting, Data Processing/Analytics/Science, Economics, Electrical Engineering, Engineering, Engineering and Business, Finance, Information Technology, Management Information Systems, Mathematics, Mechanical Engineering, Operations Management/Research, Risk Management, Software App, Statistics.
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Computer Programming (e.g., scripting, data parsing/ETL, artificial intelligence, machine learning, natural language processing, software versioning, distributed computing). + Bachelor's degree in Mathematics, Physical Science, Software Engineering, Computer Science, or a related field with 4-6 years of relevant experience, Master's degree with 2-4 years of experience, or PhD with 0-2 years of experience.
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The Office of the Chief Statistician is seeking a highly motivated “full stack” data scientist with expertise in machine learning (ML) and artificial intelligence (AI), including natural language processing (NLP) and predictive analytics, to join our dynamic team.
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Certifications addressing security and risk management, asset security, security engineering, communications and network security, identity and access management, security assessment and testing, security operations, software development security, system security, network infrastructure, access control, cryptography, assessments and audits, and organizational security.
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software engineering processing jobs in Alexandria, VA
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