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Our team develops and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on projects in a wide range of research domains.
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Demonstrated experience with several of the following: Python, Java, SQL, Snowflake, AWS/Azure, Tableau, Power BI, Google Analytics, Machine Learning, Deep Learning, Salesforce, React, JavaScript, Node.js, HTML, UI Design, UX Research, writing API's for deployment, etc.
$40.7 an hourFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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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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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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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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The Learning & Development Manager, Chapter is an individual who can effectively collaborate with all leaders across functions, both at Chapter and TAG, including Operations, Clinical Support, L&D, HR, etc.
$110,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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TDD, CI/CD, Distributed Computing, Linux Stack, MLOps, Machine Learning Operations, HPC, High Performance Computing, AWS, GCP, Cloud, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago RecruitingLooking to hire for similar positions in Chicago, IL or in other cities.
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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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Be there for students at Catapult Learning partner schools in the way that works best for you: year-round and/or during summer, full-time or part-time. If you became a teacher to help students learn, grow, and shine there’s a place for you at Catapult Learning.
$30 - $50 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud Computing – Use the full range of Microsoft Azure Services with exposure to machine learning. Continuous Learning – stay up-to-date with emerging technologies, changes in the banking industry, and regulatory developments.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
$199,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today
machine learning jobs Company: Expert Hiring in Chicago, IL
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