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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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We are surpassing the boundaries of classical physics and modern supercomputing, ushering in a new era of computing that promises to revolutionize industries including medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and beyond.
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Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations.
$140,000 - $190,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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We Are Nextira, now part of Accenture, builds cloud-based solutions and services with cutting-edge engineering skills, artificial intelligence (AI), machine learning (ML), and data analytics that enable clients to design, build, launch and optimize high-performance computing environments.
$73,000 - $192,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Accenture AWS Business Group is part of Accenture Cloud First, Accenture’s industry-leading business group focused on redefining how organizations operate and create value by using cloud, data, and artificial intelligence for total enterprise reinvention.
$73,000 - $192,600 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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What you bring to the table: 3+ years professional experience in technology research in the emerging technology space or a related position (related investment banking, equity research, consulting, or journalism experience), preferably in artificial intelligence, quantum computing, blockchain, AR/VR, or other deeptech areas.
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There is an abundance of challenging work here from major corporate clients, thus you will be exposed to a diverse array of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), machine learning (ML), enterprise and mobile applications, databases and data structures, web and cloud services, virtualization, operating systems, file systems.
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Doctorate degree in Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering or hold a combination of Master's degrees in Engineering and Analytics / Artificial Intelligence fields.
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You will specialize in cleared professional recruiting within a diverse range of disciplines including Software Development & Engineering, Data Science & Analytics, Solution Architecture, Cloud Computing, Cybersecurity, Artificial Intelligence, DevOps & DevSecOps, Blockchain, and Healthcare IT. How This Benefits You: Flexible, Remote Work: Enjoy the freedom to set your own hours and work from anywhere.
$8,500 - $14,000 a monthFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep understanding of data engineering fundamentals, ELT / ETL, latency, observability, lineage, distributed storage and distributed computing. The Data Engineering team at System1 is focused on building data assets, catalog, frameworks, and automation to ensure smooth running data pipelines and infrastructure.
$172,000 - $257,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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The ADESA Business Intelligence team is building a modern platform to drive data driven decision-making across ADESA and KAR. ADESA is undergoing a technology transformation, both at our physical auctions and online platforms, and is in demand of a data and analytics platform to support our expanding portfolio of business opportunities.
$96,000 - $151,000 a yearFull-timeRemoteExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Minimum 3 years' experience working with Cloud technologies such as Synapse pipelines, Azure Data Factory (ADF), ADLS, Azure Databricks, Spark, Azure Synapse, and other modern data ETL/ELT technologies.
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Minimum 5 years' experience in data engineering with a proven track record in the Azure ecosystem and with Azure DevOps. Minimum 5 years' experience engineering and operationalizing data pipelines with large and complex datasets.
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