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We are looking for a talented AWS DevOps Engineer to manage our AWS environment and support our development teams. Contribute to Dev/Ops practices including software development templates, development pipeline operations, deployment automation and Cloud operations methods and scripts.
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As a Machine Learning Operations Engineer at Autodesk Research, you will be working side-by-side with world-class researchers and engineers doing fundamental and applied research that will help our customers imagine, design, and make a better world.
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As a Machine Learning (Ops) Engineer you will be responsible for developing and maintaining the infrastructure required to deploy, monitor, and manage machine learning models efficiently and effectively.
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Ultimately a strong AWS engineer with a focus in the below areas. Master Job Title :Cloud: Virtualization Engineer. Ultimately a strong AWS engineer with a focus in the below areas. Master Job Title :Cloud: Virtualization Engineer.
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We are looking for the right candidate that will have the unique opportunity to build their experience as cloud devops engineer as well as growing their capabilities as a release engineer under our more senior staff.
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Dev Ops Engineer Responsibilities. Dev Ops Engineer Qualifications. Dev Ops Engineer. BS or MS degree in Computer Science or related discipline with 3+ years of experience as a DevOps engineer or automation engineer.
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Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise ML Ops Engineer Full-Time (Hybrid) Overview: Hospital for Special Surgery (HSS), leader in musculoskeletal health and ranked #1 in orthopedics worldwide by Newsweek and nationwide by U.S News & World Report, is seeking a ML Ops Engineer to join the Center for Analytics, Modeling, & Performance (CAMP.
$140,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including our newsfeed, our notifications, and our ads relevance.
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ON-SITE IN CHARLOTTE, NC (weekly onsite rotations: one week on, one week off)
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1) Strong experience on Openstack cloud solutions including deployment, configuration and administration of core services like Nova, Neutron, Cinder, Keystone etc
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5+years of experience as an Application Support Engineer. 5+years of experience as an Application Support Engineer. We're creating seamlessly integrated, elegant, and intuitive solutions built with cutting edge technology and powered by Big Data, Machine Learning (ML)/ AI and Internet of Things (Connected vehicle to connected devices.
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Client Ops Engineer at Pennsylvania - EST/CST - Candidates only - 3-4 day need to be onsite in a month. We are seeking a highly skilled and experienced MLOps Engineer to join our team in USA. You will play a crucial role in building and maintaining the infrastructure and pipelines for our cutting-edge Generative AI applications, working closely with the Generative AI Full Stack Architect.
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This process engineer will spend part of their time in stores observing current state processes to document opportunities. A Process Engineer 2 is responsible for leading small to medium subsets of larger projects.
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We are now looking for an Event Tech Ops Network Engineer: A cool, fun, technical individual who will be working with the Marketing and IT teams on NVIDIAs latest products. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass gaming, artificial intelligence, media and entertainment, product design, healthcare and many other areas of scientific research.
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Client: Capital One
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Title: ops engineer in Kekaha, Hawaii
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