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Modern Technology Solutions, Inc. (MTSI) is seeking a Cyber Operations Subject Matter Expert (SME) with experience at US Cyber Command (USCYBERCOM), the National Security Agency (NSA), and/or other Intelligence Community (IC) partners to join our team in the Fort Meade, MD area with some occasional travel.
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Degree in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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Support security authorization activities in compliance with Information System Certification and Accreditation Process (NISCAP) and DoD Risk Management Framework (RMF), the NIST Risk Management Framework (RMF) process, and prescribed business processes for security engineering.
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The Department of Defense relies on satellites and advanced space-based technology for secure communications, navigation, real-time reconnaissance, precision targeting on the battlefield, early warning of potential missile launches, and even weather forecasting.
$139,395 - $191,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expertise in statistical and Machine Learning techniques, including regression, clustering, and classification algorithms. Design, develop, and apply advanced statistical and machine learning models to derive insights and support data-driven decision-making.
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Experience in Information Technology: Experience coding in Python Someone who is strong in a modern JavaScript framework. Clearance: Current TS/SCI Full Scope Poly Required JOB DESCRIPTION: MC1; The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required. Are you looking for an opportunity to not just develop software, but build a system that will help the U.S. Federal Government accomplish their mission through secure information sharing.
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Bachelor's Degree in Systems Engineering , Information Technology, Information Systems Management, Computer Engineering, Cyber Security, or related field and 8 + years’ experience demonstrating the ability to meet stated responsibilities.
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Utilize Machine Learning to create innovative tools like recommendation engines and automated lead scoring systems. Perform statistical analysis and data visualization using tools like Power BI, Tableau, R, and Python.
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Education : Degree in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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Expertise in software-defined radio (SDR) hardware/firmware/software, including DSP algorithm development and implementation in FPGA resources, GPUs, and GPPs. Experience with high-order angle and amplitude modulation, multiplexed signals, and spread spectrum technology.
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In addition to meeting qualifications, your application package must reflect the applicable experience to meet the Individual Occupational Requirements for the 2210, series as listed below: You must have Information Technology (IT)-related experience which demonstrates proficiency in each of the following four competencies listed below: 1.
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12+ years of experience in software engineering, with a focus on machine learning or natural language processing. Familiarity with cloud platforms (e.g., AWS, GCP) and their machine learning services.
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Collegiality, as well as professional and ethical conduct, enhances teaching, learning and the general. To assist in the development of learning materials, preparing lesson plans and maintaining.
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Experience with Python, Java, Artificial Intelligence (AI) and Machine Learning (Client) Utilize current machine learning algorithms for use on low equity sensors for signal identification.
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information technology machine learning jobs Title: information technology assistant in Castine, ME
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