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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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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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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Cutting-Edge Machine Vision*: We're in the business of AI and data science.
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Job Description Solis Applied Science is seeking Senior level Geospatial Analyst professionals with experience focused on digital cartography and image processing. Ability to brief Seniors to influence decisions Serve as the team lead for the junior contractor FTE’s , About Solis Applied Science Solis Applied Science (Solis), a Service-Disabled Veteran-Owned Small Business, was founded in 2016 by remote sensing experts, with deep-rooted academic, federal, military, and industry applied science backgrounds.
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Certifications and specialization in IT Ops, Infrastructure, APM, Data Engineering, Machine Learning, Data Infrastructure. BS or Master in Computer Science. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems.
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Sustainability Science and Innovation (SSI) is a multi-disciplinary team within the WW Sustainability organization that combines science, analytics, economics, statistics, machine learning, product development, and engineering expertise.
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The Chief Scientist should have experience across the important technologies in the sensor technology space, including signal processing, RF and EO/IR hardware, machine learning/artificial intelligence, system integration, field testing, data collection, missions and CONOPs, open architectures and software development, along with a proven track record of delivering quality results to customers in the Department of Defense (DoD) and Intelligence Communities (IC.
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Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning) The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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Experience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch, Mxnet, etc. This position requires a very strong general knowledge of machine learning and artificial intelligence so that the candidate can contribute to various machine learning (ML) and artificial intelligence (AI) projects in the Leidos AI/ML Accelerator.
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Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies. 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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Janes has recently developed a new product called Intara, using Artificial Intelligence and Machine Learning capabilities through cloud-based technology providing customers with a powerful tool to integrate and connect Janes data with other data sources and advanced technology programs within national security.
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Technical schooling diploma Funeral Services/Mortuary Science preferred. Bachelor's degree in Mortuary Science where required by state law. Technical schooling diploma Funeral Services/Mortuary Science preferred.
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B.A. in International Relations, National Security, Foreign Affairs, Regional Studies, Political Science and/or related disciplines. Advanced degree in International Relations, National Security, Foreign Affairs, Regional Studies, Political Science and/or related disciplines.
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Electrical, electronic engineering, information technology, machine learning, programming, python, software engineer. EHS provides a range of professional services for cyber intelligence and information technologies capabilities to the Federal Government, Civilian, and commercial markets to further the nation's national security and civilian service missions.
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tensorflow machine learning applied science jobs Company: Money Fit By Drs in Springfield, VA
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