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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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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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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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6+ years of proven experience as a technical product manager, data scientist, data engineer, machine learning engineer, or similar role. RAPIDS, the open-source suite of accelerated data science libraries and primitives, brings accelerated computing to the wider analytics world by combining the performance of NVIDIA GPUs with the ease of use of Python, Apache Spark, and modern C.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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1-5+ years of experience in Machine Learning (ML), Data Science, and Artificial Intelligence (AI), ideally with deep learning experience. We are looking to add an experienced Machine Learning Engineer to our esteemed team who can develop cutting edge Deep Learning technologies in the domains of Computer Vision, Synthetic Aperture Radar (SAR), and Geospatial Exploitation.
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We are supporting scientists around the world as they develop a comprehensive reference atlas of all cells in the human body, and are developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences.
$285,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We are recruiting for a Senior Process Governance Consultant who will support the critical functions for Open Source Intelligence in the Intelligence Community. Experience with data management and governance.
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This includes high-performance computing (HPC), cloud platforms, modern software development tools, petabyte-scale storage, and advanced machine learning and artificial intelligence systems.
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SiFive's unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. In Emerging ML, you will work at all phases of the data science lifecycle, including: Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50 million customers.
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AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things.
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Technical background with machine learning, deep learning, open-source software, Artificial Intelligence/Machine Learning Developers. Sabre Systems, Inc. is a quality-driven, customer-focused large business providing innovative solutions in the areas of Cyber, C4ISR, Business Intelligence and Data Analytics, and Enterprise Modernization to federal and civilian customers.
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Support energy research by leveraging scientific, spatial, statistical analytics, as well as appropriate artificial intelligence and machine learning algorithms. Experience with and willingness to learn AI (Artificial Intelligence)/ML (Machine Learning) techniques.
$117,500 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Familiar with Esri products (i.e., ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online) and other open-source GIS software (i.e., QGIS). Accelerating carbon management – Current CO2 (carbon dioxide) transport and storage efforts are focused on developing federated, dynamic geospatial databases and data-driven tools that leverage key geologic, social, environmental, and infrastructure (e.g., wellbores, pipelines, etc.
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