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Working as part of an existing team, the successful candidate will have ample opportunity to contribute to enabling science at UChicago, to collaborate on software development, develop and deliver training, and other activities designed to advance research through scientific visualization, machine learning, and beyond.
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Director - Artificial Intelligence & Machine Learning. Director - Artificial Intelligence/Machine Learning. Create and implement solutions with respect to complex problems/scientific questions on large scale data sets, especially using machine learning approaches, predictive models, and statistical analysis, especially in the area of genomics, proteomics, and imaging.
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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. PreferredA demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred.
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Minimum of 2 years’ experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.
$58,500 - $188,100 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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SpotHero is seeking a Senior Machine Learning Engineer to join the Data Science squad. As a Sr. Machine Learning Engineer, you’ll apply machine learning to solve classification, regression, computer vision, and natural language problems.
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To do this, you must interface directly with machine shops, sheet metal fabrication shops, internal staff members and management, as well as customers. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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Cloud Computing – Use the full range of Microsoft Azure Services with exposure to machine learning. Senior Software Engineer, US Risk Technology page is loaded. As a Software Engineer on the US Risk Technology team, you’ll serve as a technology partner for the US risk management function.
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Preferred experience of compliance processing LIHTC paperwork as well as general Affordable Housing Certifications (NAHMA: TCS and/or HCCP) JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P.
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And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. The Principal Controls Engineer will collaborate with various Engineering teams to design, model, simulate, and implement innovative control algorithms for our products.
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The specific focus of this role includes counseling the GE HealthCare Digital business on: (i) enterprise-wide digital optimization and transformation, including the development of digital tools and applications, SaaS and cloud-based technologies, data governance, artificial intelligence (AI), and machine learning (ML); (ii) digital product development, licensing opportunities and external partnerships and collaborations.
$196,000 - $364,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. Demonstrate knowledge of technologies that support collaboration, automation and data-driven story-telling including:Microsoft Products (Teams, PowerBI, MS Office), G-Suite (Google), and business intelligence tools.
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We are passionate about incorporating the latest technologies in computer vision, image processing, computational photography, machine learning and artificial intelligence into today’s most advanced products: smartphones, tablets, PCs, and greatly improve the consumer experiences.
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Documentation – Comfortable documenting each step of the software delivery life cycle on wiki and our change management software ServiceNow. Business Savvy – apply knowledge of banking and risk management to ensure alignment between business objectives and software requirements.
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Basic knowledge of digital manufacturing technologies such as digital twin, artificial intelligence, and machine learning, as well as cybersecurity guidelines and frameworks, including NIST and CIS.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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machine learning software engineer artificial intelligence jpmorgan chase jobs Title: java software engineer Company: Jpmorgan Chase in Chicago, IL
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