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Understands, conducts, and documents appropriately Dialysis/Apheresis machine safety tests/alarm tests, equipment calibration, dialysate testing, machine safety tests, functional testing, and internal and external disinfection on all water & dialysis machines, and complies with the documentation/notification standards per FMS policies.
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As a Quantitative Analyst 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 cloud 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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Train machine learning (ML) models for the creation of MT and natural language processing (NLP) models. Improves artificial intelligence/machine learning (AI/ML) tools and other applications in the client’s work environment, such as machine translation, speech or text recognition, input methods, keyboard/swipe technology, advancing searching, and other areas of human-machine interactions related to languages.
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Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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5+ years expertise with machine learning and/or natural language processing. Degree in Computer Science, Machine Learning, Data Science or related field, with expertise in knowledge representation.
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Participation in Liver and Kidney machine perfusion. Organ Procurement Surgeon MedStar Georgetown Transplant Institute. The world-class transplant surgery program at the MedStar Georgetown Transplant Institute is seeking Organ Procurement Surgeons to join our abdominal surgery program.
$516,655 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Show advanced knowledge of Machine Learning Algorithms/AI techniques including Deep Learning Techniques (RNN, CNN, GAN, etc) Demonstrate experience with high-level languages and frameworks such as R, Python, Perl, Ruby, Scala, Apache Spark, Storm.
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Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset.
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Seeking a reliable Baling Machine Operator to sort materials by recyclable grades and operates baling machines with capacities of one half to one ton bales and uses a forklift and/or crane to move completed bales from baling machines and places bales on flatbed trucks for transport.
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The Network supports cohorts of AI Accountability fellows; grant-making for shorter-term AI accountability projects and machine learning projects; and the AI Spotlight Series, a training initiative.
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Further support includes migration of MDA capabilities to the cloud, and the application of artificial intelligence/machine learning (AI/ML) tools to existing MDA data sets. Able to backup different Database Machine components.
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Demonstrate deep knowledge of data integration principles ETL best practices and data governance frameworks with familiarity in machine learning concepts and data preparation techniques. Collaborate with data scientists and machine learning engineers to support model development through data preparation and analysis.
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You must have deep technical experience working with technologies related to artificial intelligence, machine learning, deep learning, or generative AI. A strong statistics, mathematics, computer science, or technology background is preferred, in addition to experience helping customers architect enterprise grade AI/ML solutions.
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Use machine learning, deep learning and data mining techniques to develop robust predictive models for anomaly detection such as account takeover (ATO) risk detection, E-Commerce payment fraud detection, return abuse, and Identity risk assessment.
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Solving complex problems using machine-learning and artificial intelligence. instructional technologies (e.g. Articulate Storyline, Adobe Captivate, etc.) Work collaboratively with staff to develop multimedia (including audio, video, and graphic production) to support distance learning development efforts.
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machine job Company: Services Llc in Mclean, VA
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