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We are seeking individuals with a profile of skills in psychometrics, statistical computing & programming, simulation-based research, natural language processing, and machine learning. Increasingly, we find ourselves conducting data analyses of rising complexity involving traditional statistical methods alongside techniques related to machine learning.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA.
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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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Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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Perform Gap analysis and methodologies to identify the implications of artificial intelligence and machine learning for the future of warfare, and the specific defense and security applications (e.g., intelligence analysis, command and control, targeting, autonomous systems, information operations, training and simulation) where AI will be most impactful.
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Perform research in spatial and/or temporal (ST) data mining, ST databases, ST statistics; machine learning and cybersecurity, digital forensics, and/or remote sensing. Analytic Technologies includes support to the specific technology areas of automatic target recognition (ATR), geospatial signatures, geo-positioning, tracking, adversarial activity, counter proliferation, information assurance, workflow effectiveness, temporal modeling, event prediction, artificial intelligence (AI), and machine learning (ML.
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Bachelor's degree or higher in Mathematics, Statistics, Computer Vision, Artificial Intelligence, Machine Learning, or related STEM degree program, or equivalent expert level work experience as a Test Systems Engineer.
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Experience with Google Cloud Management Portal, Machine Learning, and Google Cloud Storage and databases. Google Cloud: Experience designing, deploying, and administering scalable, available, and fault tolerant systems on Gooogle cloud using Google Cloud’s big data tools (BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Datalab, Cloud Dataprep, Cloud Pub/Sub, Genomics, Google Data Studio.
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Six Sigma Green Belt. Support incoming, in-process, and final inspection of electromechanical assemblies, textiles, and composites. QinetiQ Inc. is looking to hire a highly motivated mid-level Quality Engineer to work at our production facility in Lorton, VA. This position requires the flexibility to apply fundamental Quality Engineering skills and concepts across a typical program lifecycle for the Defense Technologies & Solutions business unit of QinetiQ, Inc.
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With proven records of successfully delivering quality services and solutions to multiple federal agencies, our technical competencies include Emerging Technology Solutions, DevSecOps, Cloud Migration, Machine Learning, System Modernization, and Technology Management.
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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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Have good knowledge in at least one of the following areas: Image Processing, Computer Vision, Machine Learning, Natural Language Processing, Reinforcement learning, Deep Learning Architectures (AutoEncoder, CNN, RNN, BERT, etc.
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Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? You’ll write scripts to integrate data, conduct exploratory data analysis to discover hidden patterns, apply machine learning to train predictive models, and use the right combination of tools to turn that set of disparate data points into objective answers to help mission partners make informed decisions.
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We specialize in comprehensive mission and business support services as well as advanced software solutions through various technologies such as Artificial Intelligence, Machine Learning, Drones, Virtual Reality, Modeling and Simulation, and Weather Analysis.
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We're seeking a Machine Learning Software Engineer to design, create and maintain Machine Learning models to provide solutions to Intelligent Transportation Systems (ITS) and Electronic Toll Collection (ETC) business needs.
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machine learning jobs in Fort Belvoir, VA
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