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Pearson VUE offers a great environment to start or grow your career, we are now hiring for a Part time Test Administrator to join our team in Reston, Virginia. Pearson VUE is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses.
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Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. 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.
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Worker TypeRegularJob Description SummaryThe Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications.
$113,901 - $170,851 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques. The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python, SQL, PySpark and cloud-based tools such as Big Query, Databricks.
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Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery.
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
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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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Experience with big data analytics, machine learning, artificial intelligence, or anomaly. Infrastructure Support (IS) certification, including CEH, CySA+, GICSP, SSCP, CHFI, Experience with DevSecOps, CI and CD, IaC and CaC, IT Infrastructure Library, and IT.
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Ever-expanding te chn ology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever before. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$75,600 - $172,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in Beamforming, Adaptive Filtering, Antenna Modelling, Conformal Antennas, Iterative Solvers, and Machine Learning, Communications Signals, Modulation, Signal Intelligence (SIGINT), Software Defined Radios (SDR.
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Proficient in program management, systems engineering, and an in-depth knowledge of one or more of the following: (1) Long range fires; (2) Data science, artificial intelligence, deep learning systems, Autonomous systems; (3) Long range weapon kill chains; (4) Communications, networking, inter-networking in communications denied environments; (5) Cyber.
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Marks/tattoos appropriate body anatomy for daily re-positioning on linear accelerator; Documents or captures patient measurements and machine treatment parameters for dosimetry planning and calculations; Acquires Computed Tomography machine data sets for patient positioning, contours and set-up parameters.
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In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques. In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques.
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