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Experience utilizing CUDA and NVIDIA GPU accelerated libraries for AI, machine learning, and deep learning tasks. Experience with deep learning and machine learning libraries including PyTorch, TensorFlow, Keras, and scikit-learn.
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CINO’s focus is on information dominance and research topics include modeling and simulation, artificial intelligence, machine learning, and DevSecOps. Our mission is to “provide the cutting edge technology development, analysis, tools, and other capabilities that effectuate many capabilities including DevSecOps automation, C5ISR-T capability.
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BlackSky is looking for a talented and creative Staff Machine Learning Quality Engineer to support the development, operation, and capability evolution of Spectra AI, BlackSky’s cutting edge AI/ML Platform.
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Use cutting edge technologies such as Python, Scala, Spark, and a variety of AWS services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence. Collaborate with Data Scientists, Machine Learning Engineers, Business Analysts and/or Product Owners to understand their requirements and provide efficient solutions for data exploration, analysis, and modeling.
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The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Paradyme, Inc. is a dynamic federal government contracting company specializing in cutting-edge software development, artificial intelligence/machine learning (AI/ML), and cloud solutions.
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Join the Leidos team today and help us create cutting-edge learning experiences that will shape the future Your greatest work is ahead The Mission The Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems , and enabling technologies like Artificial Intelligence and Machine Learning to support our customers’ mission to defend against evolving threats around the world.
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As an ISD with Leidos, you'll be tasked with using your expertise in industry-standard instructional design practices, data collection instruments, data collection and analysis, creating project management plans, and designing learning assessments to develop high-quality training materials that meet the needs of our clients.
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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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2+ years of data warehousing experience (Redshift or Snowflake) 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) As a Capital One Senior Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Explore and analyze neural data with data science and machine learning methods. The lab combines cutting-edge experiments that leverage naturalistic behavior, large-scale electrophysiology, and quantitative methods.
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Design, build, and maintain machine learning infrastructure and platforms using MLOps, DevOps, and Kubernetes. At least 3 years of experience in MLOps, DevOps, Kubernetes, Python, PyTorch, GPU programming, and machine learning.
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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.
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We are looking for Scientists and Mathematicians to join our research team and help us solve challenging scientific and computational problems in large-scale machine learning, spatiotemporal data mining, and related areas.
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