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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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Build machine learning and NLP models through all phases of development, from design through training, evaluation, validation, and implementation. At least 2 years’ experience with machine learning with a focus on natural language processing.
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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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Demonstrated experience with developer tools such as GitHub and on-prem Azure DevOps. The ISR (Intelligence, Surveillance & Reconnaissance), Aviation, and Security (IAS) business area is a leader in ISR and aviation, it is a leading prime manned and unmanned aircraft systems integrator for innovative, high-performance ISR and aviation systems.
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Collaborate with the LMS Analyst and Learning & Development Assistant to ensure seamless program delivery via the learning management system. Proficiency in the application of instructional design, curriculum design, adult learning principles, and measurement strategies.
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As an Artificial Intelligence (AI) Scientist you will be responsible for thought leadership and vision implementation of our most important machine learning (ML) products. 5+ years of experience with machine learning, deep learning, and neural networks.
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IBTCI specializes in monitoring, evaluation, research, and learning (MERL) and institutional support across many areas and sectors including, but not limited to, conflict and crisis, democracy and governance, agriculture, economic growth, food security, education, environment, and global health.
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Understand and apply concepts associated with data modeling, machine learning, and artificial intelligence (AI) and their application in client workflows. Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Experience with a variety of BI and Analytics platforms like Power BI, Tableau, DOMO, Looker, PowerBI, Alteryx, and advanced statistical analysis tools like SAS or SSPS.
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Experience working in Azure DevOps environment. Deep technical experience working with C#, Dataverse API, REST/OData/SOAP endpoints; software development experience leveraging DevOps strategies focused on CI/CD, automated testing, version control or related.
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Machine Learning Frameworks: Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. + AI/ML Application: Apply machine learning and artificial intelligence techniques to enhance data processing and analytics capabilities.
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Participation in Liver and Kidney machine perfusion. Organ Procurement Surgeon MedStar Georgetown Transplant Institute. Evaluation of transplant organs and organ procurement, including DCD Liver and Kidney procurement.
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The individual will need deep experience in reporting for executive stakeholders, discovery and reporting of portfolio projects, skills with ADO (Azure DevOps), Tableau, PowerBI, strong Agile knowledge, and excellent communication & multi-tasking skills.
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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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Job Description General Summary The Healthcare Data Scientist - Machine Learning/AI, Statistics, Operations Research position will join our Advanced Data Science group at the University of Maryland Medical System (UMMS) in support of its strategic priority to become a data-driven and outcomes-oriented organization.
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machine learning devops jobs Title: devops engineer Company: Pri in Arlington, VA
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