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As a Senior Manager of Technical Program Management (TPM) on Capital One’s Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization.
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Researching and identifying Artificial Intelligence (AI) methods – including Machine Learning (ML) and Natural Language Processing (NLP) methods. Perform statistical (and machine learned) analyses on data to serve business purposes.
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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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Familiarity with Machine Learning and/or Natural Language Processing (in particular Named. Experience with machine learning, natural language, and statistical analysis methods to include classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and/or validation methods.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution.
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We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We've received recognition as a global Best Places to Work and a recipient of many prestigious awards for diversity, equity, and inclusion, including a DiversityInc Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more.
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Full text indexing and searching technologies such as Lucene and ElasticSearch, tuning indexing and searching for search relevancy and accuracy; using data mining and machine learning tools and algorithms.
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Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency.
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We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React. Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks.
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
$60 - $65 an hourFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR.
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Producing various artifacts (BRD, Design Document, Test Cases, B2B/EDI Specifications, Launch/Cut-over plans, or Operations documents. Writing functional design documents, create/maintain EDI maps and specifications, troubleshooting complex EDI failures, working with external EDI partners, and testing interconnected systems.
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You Have:5+ years of experience in software development and machine learning delivering high quality, scalable, and maintainable solutionsExperience with leveraging ML frameworks, such as TesorFlow or PyTorch or developing ML inference pipelines in environments, such as DataBricks or AWS SageMakerExperience with developing in modern front-end technologies, such HTML, CSS, JavaScript and front-end frameworks or libraries, such as React.
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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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Qualifying coursework may include—but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods.
$114,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago
machine learning jobs in Bethesda, MD
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