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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. With a presence in over 47 markets globally, Fluence provides an ecosystem of offerings to drive the clean energy transition, including modular, scalable energy storage products, comprehensive service offerings, and the Fluence IQ Platform, which delivers AI-enabled SaaS products for managing and optimizing renewables and storage from any provider.
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Solutions Architecture certification, such as AWS CSA or Azure Solutions Architect), Cloud Machine Learning certification, such as AWS Machine Learning, Azure Data Scientist Associate, or Databricks Certified Machine Learning Professional.
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The Intelligent Foundations and Experiences (IFX) organization delivers exceptional technology, products, services and processes to support our Data and Machine Learning ecosystems and core functions that support holistic operations for Capital One as an enterprise.
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Experience or knowledge of advanced technologies related with for instance Artificial Intelligence (AI), Machine Learning (ML), Augmented Reality / Virtual Reality, DevOps, etc. Experience in service management and/or supplier management.
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Preferred Qualifications for the Cyber Engineer:·Experience with cloud security, including AWS, Azure, or GCP.·Knowledge of big data analytics, machine learning, and anomaly detection. ·Experience with CI/CD, IaC and CaC, ITIL, and IT Service Management.
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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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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer. Lead Machine Learning Engineer. 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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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Give and solicit feedback from your UX design peers in service of building the best products.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran owned, highly regarded IT consulting and management firm.
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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.
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We are looking for a highly motivated technical leader with previous digital transformation experience delivering, managing, and selling innovative technical solutions in Application/Software Development, SaaS/PaaS Implementation, DevSecOps, Artificial Intelligence/Machine Learning (AI/Client), Robotic Process Automation (RPA), Cybersecurity and Privacy.
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One of your core responsibilities will be building and maintaining Self-service Data Platforms based upon Spark as the runtime, making it easy for customers to transform and access our data for analytics, machine learning, and threat hunting.
$180,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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You should understand the full stack of AI/ML training and inference, and possess in-depth knowledge of cloud orchestration, PaaS platforms, and modern machine learning frameworks. Build product roadmap for Platform-as-a-Service (PaaS) layer that integrates with multiple vendor’s hardware, CSP partners MLOPs software and other integration points so that end customers (Enterprise AI) can use their software across hardware vendors and CSPs, as well as the supporting toolkit for software stack and release schedule.
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