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Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
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We provide cutting-edge SaaS technology solutions, data, and research to identify, quantity, and mitigate ad fraud and data privacy compliance risks in digital advertising. Experience with distributed systems and big data processing technologies.
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The Principal Machine Learning Engineer (PMLE) will serve as a key technical leader within US Foods’ Machine Learning Operations team and will help drive our advancements in AI and Generative AI. They will provide thought leadership across our Analytics & Data Science organization and work closely with ML Engineers, Data Scientists, and business leaders to design, develop, and deploy industry-leading AI solutions.
$210,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Solid software engineering and / or data engineering skills for prototyping. Do you have the skills necessary to manage, understand, and analyze inhouse and customer data including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities.
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The Machine Learning/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion.
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The Machine Learning Engineer will work across multiple research areas developing and maintaining custom applications and data pipelines featuring generative AI, natural language processing, LLMs, and other foundation models.
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As a Machine Learning Operations System Administrator, you will support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics. You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights.
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Research, analyze and interpret scientific data related to data analytics, artificial intelligence, or machine learning. Apply advanced methods and techniques towards data analytics, artificial intelligence, and machine learning.
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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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2+ years’ experience working with big-data technologies/databases, e.g. Spark, Mongodb, Elastic search, Snowflake, Neo4j, etc. A master’s/PhD degree in data science, Computer Science, Statistics, Mathematics, or a related field and at least 3 years of relevant work experience or a bachelor’s degree in these fields with at least 5 years of relevant work experience.
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An interest in data science, data engineering, or machine learning. Come support a major program advancing the state of the art in Machine Learning Operations (MLOps) supporting mission-focused big data analytics and predictive analytics.
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My client is working with international entertainment clients to ingest data from their cloud environments to run advanced analytics within AWS. As a Machine Learning Engineer Director, you will also be working alongside the executive board to push the boundary on Artificial Intelligence and AWS.
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Description Are you a System Administrator who is interested in developing your skills and deepening your experience related to Artificial Intelligence (AI)/ Machine Learning (ML) and Data Science (DS.
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8+ years of progressive experience as a data analytics, machine learning engineer, or similar roles. MLOps/LLMOps, machine learning engineering, Big Data, or a related role.
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Develop data science solutions based on tools and cloud computing infrastructure. Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects.
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data job Title: machine in Mclean, VA
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