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Our team develops, implements, 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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Build and facilitate machine learning across large scale systems and campaigns and ensure deployment and updates in partnership with data engineering. 7+ Years of experience in Data Engineering, Analytics and Machine Learning Systems.
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Required) Familiarity with machine learning concepts, tools, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, MLflow) Develop and integrate custom machine learning models using Azure Machine Learning, MLflow, and other relevant libraries.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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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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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club.
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Thomson Reuters is looking for a Legal Prompter to join our Machine Learning Engineer team, working on CoCounsel. Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
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Minimum of ten years of experience with pattern recognition, machine learning, linguistics, utterance classification, and signal processing knowledge. As the UX/CX Designer Principal Engineer (PE), you will be part of Telecommunication's Professional Services (PS) team.
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2+ years of experience working as a Machine Learning Engineer and has implemented and deployed at least 2 large projects related to ML & Natural language processing ( NLP ) Role: Sr Data Scientist or AI/ML Engineer.
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Design, develop, and implement automation and robotics solutions, including but not limited to robotic process automation (RPA), machine learning, artificial intelligence, and other advanced technologies.
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Machine Learning Engineer / Generative AI Engineer. Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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We have 3 positions for a DevOps Engineer (Machine Learning) - HYBRID. Role: DevOps Engineer (Machine Learning) They need candidates who are strong with Google Cloud Platform (GCP), Kubernetes, Grafana, Machine Learning, PySpark.
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Description :Joining CoreLogic means working on the cutting edge of the industry with next-gen technology such as cloud native applications, machine learning, artificial intelligence, augmented reality, drones, and more.
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We are seeking a Full-Stack Engineer with a solid foundation in software development and an interest in machine learning and artificial intelligence. Knowledge of API development, including REST and GraphQL. Understanding of machine learning and artificial intelligence concepts.
$130,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience as a Machine Learning Engineer or similar role. We are looking Consutlant good on Python and Machine Learning with good exposure to any LLM. Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn.
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