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The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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This position also oversees team-specific and division-wide change management and organizational change efforts, talent planning, and oversight of the divisional diversity, equity, and inclusion (DEI) execution plan, measurement, learning, and evaluation (MLE) activities, and division-wide staff engagement activities like retreats and All-staff meetings.
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Well-developed understanding of Systems Development Lifecycle (SDLC) and ideally the DHS Systems Engineering Lifecycle (SELC) process as it relates to Security Assessment and Authorization (SA&A.
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You’ll be empowered to drive systems change and take bold steps to advance racial equity. We seek to advance racial equity and dismantle the enduring legacy of systemic racism in housing both through and within the work we do.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics.
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Desired Qualifications: Doctorate degree in Systems Engineering or in a related hard science STEM field such as, engineering, physics, mathematics, operations research, Computer Engineering, Information Technology, Management Information Systems, Geographic Information Systems, or Geodetic Sciences or in project management or engineering management.
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Bachelor's degree in engineering, oceanography, Geographic Information Systems, cartography, hydrography, or closely related discipline; or 2 years of college + 2 years of directly related experience; or 4 years of directly related experience.
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Experience with roadways, sanitary sewers, water distribution systems, storm drain facilities, site grading, stormwater management, earthwork, erosion & sediment control, environmental compliance, ADA compliance, and/or pavement markings & signage.
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The Senior Cybersecurity positions require a Bachelor's degree in Computer Science or Information Systems with at least 12 years of specific, demonstrable, and successful experience fulfilling a Cybersecurity role for a DoD or IC customer on similar size and scale.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Knowledge of artificial intelligence and machine learning concepts and how it can be applied to analyzing data or automating manual tasks. This client is a US Federal Government contractor and is legally required to hire US Citizens.
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Building on The Aerospace Corporation's reputation as a trusted, impartial advisor with integrity and dedication to mission success, the Civil Systems Group (CSG) combines deep technical expertise with market-leading innovation to help our customers solve complex systems engineering and integration challenges.
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machine learning computer systems engineering equity and inclusion jobs Title: engineering in Arlington, VA
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