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The team is comprised of the best-in-class technology partners to leverage forward-leaning technologies and best practices to transform GSA's IT capabilities and shift offerings to provide a more flexible service delivery model, completing the agency's shift to a fully digital experience along with its adoption of advanced, emerging technologies such as intelligent automation, artificial intelligence, and machine learning.
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Position Description: DIGIT is seeking a Customer Advocate Project Manager to support site visits, respond to escalations, be a liaison with GSA customer champions, improve user experience and be an advocate for customer focused outreach opportunities.
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As a Data Scientist at Capital One, youll be part of a team thats 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. As part of the Card Risk Data team you will be responsible for working with the Card Risk organization business to build machine learning solutions using the latest technologies to uncover actionable insights from hundreds of thousands of unstructured data, with collaboration from across the Enterprise.
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Usage of Azure Storage ranges drastically - from hot access such as disks, to millisecond access such as video streaming data, to cold data such as archival data, and to hyperscale access, big data, machine learning, and many more.
$133,600 - $256,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ownership of the Trellix Thrive Customer Success portfolio, service packages including elements of customer success, professional services, learning and support. Product management experience, experience in high tech services (customer success, pro serv, support, learning) preferred.
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As a Program/ Project Manager, you will be responsible for directing customer support services and engineering activities across all aspects of the program, including Service Desk, Deskside/ White Glove Services, systems engineering, Low Code/ No Code, DevSecOps, Automation, Hybrid cloud infrastructure, and cyber Engineering.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Civilian Health Solutions 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 in advancing biomedical research and protecting public health.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Team Description Business Card & Payments Data Science team builds industry leading machine learning models to empower credit underwriting decisionings, supports advancement in Capital One business card product strategies, decisioning and credit infrastructures.
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Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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At least 4 years’ experience with custom code-driven machine learning projects using packages such as scikit-learn, H2O, xgboost, PyTorch, JAX, etc. You’re experienced with open source languages and how they’re used in artificial intelligence and machine learning.
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As a key player in our Card Machine Learning division, you’ll collaborate with talented data scientists and engineers to develop and deploy NLP, vision, and GenAI models to help support our customers and enable our servicing agents.
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You have experience with clustering, classification, sentiment analysis, time series, and deep learning. This team builds full-rounded modeling solutions across customer life cycles, with strong collaborations and engagement with business stakeholders, cross functional partnerships including tech and data engineers, to problem solve and develop modeling strategy and solutions with innovative approach.
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For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering.
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customer service machine learning jobs Title: manager in Falls Church, VA
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