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As part of a dedicated corporate data team, the Business Intelligence Analyst has opportunities to expand on technical skills, such as machine learning and the management of ETL processes.
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10+ years’ experience in structured cabling installation, Data center development and/or construction management experience. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
$144,000 - $201,000 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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3+ years experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.) Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team.
$72,717 - $117,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Machine Learning Experience (MLX) team supports an internally hosted Model Training ecosystem running critical infrastructure for machine learning and data analysis across Capital One. You will get an opportunity to collaborate on the 1000's of models being trained on the platform by 4000+ users and dive deep into the unique engineering challenges we have around compute, data access, security and scale.
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Knowledge of Containers (Docker) and Container Orchestration Systems (ECS, Kubernetes, and Docker Swarm/Data Center) To be successful in this role you will be expected to design/ integrate systems, create cutting-edge solutions optimized for Amazon Web Services (AWS), provide hands-on Cloud analytics and Machine Learning consulting services to defense and intelligence customers in the federal government.
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We are seeking a biologist with a strong understanding of therapeutic discovery and machine learning – particularly natural language processing (NLP) and large language models (LLMs) – to help guide and implement internal strategy for leveraging and developing such platforms.
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5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.
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Familiarity with and ability to implement emerging solutions, including AI, machine learning, algorithmic trading, and data architecture and intelligence. The CIO will report to the FHN Financial COO/CFO and, as a player-coach, will lead a team of 30+ professionals in the areas of application development, network infrastructure, data center and telecommunications.
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Office functions: Para educators may be assigned clerical/secretarial duties including, but not limited to, word processing, data entry, bookkeeping, filing, laminating, machine operations, conference and registration material preparation, cumulative folder entries, lunch accounting, and attendance duties.
$13.17 an hourExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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NVIDIA is building the world’s leading AI company, and we are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and Software, as well as building and deploying Machine Learning (ML) , Deep Learning (DL), data analytics solutions on various Cloud Computing Platforms.
$144,000 - $224,250 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Thorough knowledge of various regional data center electrical and cooling configurations, IEC, NEMA standards, AC/DC power, power redundancy scenarios. For this role, we are looking for a Network Infrastructure Design Engineer with demonstrated experience in developing and delivering network connectivity solutions at scale in a data center or globally distributed Point of Presences.
$132,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Distributed systems, data center networking, high performance computing, and distributed machine learning training. PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: FPGA or ASIC-based RTL design and verification, FPGA deployment and programming, FPGA based acceleration of cloud applications, programmable data plane, machine learning training on GPUs and awareness of hardware/software co-design.
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2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms. In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
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We're known for low volume and high capability with focused specialization in areas including software-defined radios, advanced antenna solutions, artificial intelligence and machine learning, cybersecurity, signals intelligence and more.
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Potential Certifications: PMP, ITIL, PMI)Analytics: Database Technologies, Artificial Intelligence, Machine Learning, Data Science, Data Visualization. MIS: Management Sciences, Decision Sciences, Information Sciences, Product Management, Project Management, Program Management, Portfolio Management, Human Communications, Strategic PlanningAnalytics: Database Technologies, Artificial Intelligence, Machine Learning, Data Science, Data Visualization, etc.
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