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Working closely with cross-functional teams, including software engineering, data science, and operations, our team plays a vital role in ensuring the seamless operation of our software development lifecycle.
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You will be the foremost contributor providing data operations leadership to translate model outputs into value for our customers and helping to build a growing data organization.
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Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers.
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Minimum 3 years for Capital Projects, Infrastructure and/or Asset Turnarounds, Industry experience in Data Center experience preferred. In your role as an Industry X Capital Projects/Infrastructure Practitioner, Consultant within our Industry X team, you'll work on project delivery in specific industry segments and help our clients take advantage of significant market opportunities as digital moves into the core of industry where virtual and physical converge.
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About the Role As a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop inference and optimization ETA and Routing models that impact millions of users across our three audiences and tackle our most challenging business problems.
$140,100 - $210,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive experience and knowledge of Solar PV, Battery Storage, Data Acquisition systems. Our comprehensive portfolio includes energy efficiency, infrastructure upgrades, asset sustainability and renewable energy solutions delivered to clients throughout North America and Europe.
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The ideal candidate should have team / people management experience in supply chain operations for the cloud infrastructure / hyperscale data center industry, with skills leading cross functional collaborations and initiatives, mapping process flows, driving continuous improvement initiatives and reporting Key Performance Index / metrics to leadership teams.
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Key Qualifications: Collaborate cross-functionally: Partner with AI researchers and infrastructure teams at Apple to shape our roadmap and execute strategic and tactical operations. Experience with large-scale data domains, including data ingestion, processing, ETL, management, governance, compliance, and tools.
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Under the direction of the Security Supervisor, the Security Officer Level 1 will play a critical role in ensuring the safety, security, and compliance of the NTT Data Center physical infrastructure, equipment, and personnel.
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You will utilize a technical background in infrastructure, capacity planning, servers, networks, and experience with data center construction and operations. As Director, you will be responsible for the delivery of all network and AI/ML infrastructure and capacity delivery on our data center and regional Google Cloud locations.
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Advise the Senior Manager – Data Center Operations in the development and supervision of the facility maintenance program and equipment/system operation. The Manager - Data Center Operations is responsible for employee training and ensuring all staff is adequately qualified to perform required duties.
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The Efficiency Specialist reviews data center facilities operations and makes recommendations for energy efficiency. Equinix is the world's digital infrastructure company®, operating over 250 data centers across the globe.
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Collaborate with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to successfully deliver a reliable and robust platform from concept to prototype to deployments.
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The company focuses on short-haul, B2B logistics for Fortune 500 customers including Kroger, Walmart, Tyson Foods, Loblaw, Pitney Bowes, Georgia-Pacific, and KBX; enabling them to optimize their hub-and-spoke supply chain operations, enhance service levels and product flow across multiple locations while reducing labor costs and meeting an unprecedented expectation for faster deliveries.
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This person will work closely with various cross-functional teams such as product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making.
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data operations infrastructure jobs in Santa Clara, CA
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