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We are seeking a talented and motivated machine learning engineer to join the team leveraging extensive clinical data resources to develop, validate, and deploy cutting-edge ML technology.
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As a Senior ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Successful candidates will demonstrate scientific excellence and outstanding achievements applying advanced machine learning, artificial intelligence and computational sciences in human health.
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The project involves the development and application of machine learning and deep learning approaches for spatial transcriptomics, spatial proteomics, and their integration with H&E histopathology data.
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Proficiency in Python and SQL, data visualization tools (e.g., Tableau, Looker), and other business intelligence technologies (e.g., Alteryx). 4-6 years of experience in a similar Business Intelligence Analyst and Financial Analyst role in the music publishing or rights management space.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Gotham FC requires its associates to live in its market, that is, within reasonable commuting distance of Gotham FC's offices, practice facility and Red Bull Arena. Based at Gotham FC's business office, which is located at 15 Exchange Place, Jersey City, New Jersey, on a hybrid working schedule which consists of three core in-office/in-person days (Tuesday, Wednesday, and Thursday) and two non-core days (Monday and Friday), with the option of being in the business office or remote.
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We're using artificial intelligence, autonomy, computer vision and marine robotics to create a difference in the world with underwater technology for our clients in offshore renewable energy and the subsea industry.
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At Flatiron, we’re pioneering the use of machine learning (ML) and natural language processing (NLP) to extract clinically relevant information from unstructured medical notes for use in oncology research.
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We're on the lookout for an accomplished Staff Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem.
$240,000 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Collaborating closely with business leaders and HRBPs, you will champion a culture of talent excellence, driving the execution of top-tier talent management, learning & development, and change management processes on a global scale.
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Through its global agencies Mindshare, Wavemaker, EssenceMediacom, and mSix&Partners, and cross-channel performance (GroupM Nexus), data (Choreograph), entertainment (GroupM Motion Entertainment) and investment solutions, GroupM leverages a unique combination of global scale, expertise, and innovation to generate sustained value for clients wherever they do business.
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Working in a hospital, outpatient center, private practice, imaging center or other healthcare facility, you'll prepare patients for X-rays, operate X-ray technology, process films for radiologists and physicians and handle patient records.
$2,325 a weekExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Litigation & Practice Technology ("LPT") Project Manager reports to the Associate Director and will work directly with case teams when requested by case teams and clients to: identify eDiscovery focused technical requirements and resources; assist with managing and selecting service providers; define and execute associated support tasks; provide project management for technical workstreams; and when requested provide eDiscovery and analytics consulting services.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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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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