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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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We optimize our clients' experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set.
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Description :Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial IntelligenceProven and thorough knowledge of operational metrics to support strategic plans, dashboard design and benchmarking/standard industry practices.
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Powered by NEO, One Network’s machine learning and intelligent agent technology, it enables seamless planning and execution, across inbound supply, outbound order fulfillment, and logistics, matching demand with available supply in real-time.
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Developing and deploying machine learning pipelines using Vertex AI and Kubeflow for data processing, feature engineering, model training, evaluation at scale in production on GCP ensuring data quality, integrity, and security.
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Our key technologies include NVIDIA, Xilinx, and AMD processing units, which power our cutting-edge solutions for AI machine vision, neural network-based deep learning, and more. Our key technologies include NVIDIA, Xilinx, and AMD processing units, which power our cutting-edge solutions for AI machine vision, neural network-based deep learning, and more.
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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 design.
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Six Sigma Black Belts leverage Data Science and Artificial Intelligence/Machine Learning tools to further data-driven decision making across the company and influence positive change. Title: Six Sigma Black Belt Leadership Development Program.
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Working under general direction of the Principal Investigator, this position provides analysis and develops and evaluates natural language processing and machine learning algorithms to leverage electronic health record data to support clinical care and research in the neuroscience.
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Job Description: Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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Advanced Python, SQL, and Machine Learning experience. Experience with Databricks on AWS. Advanced Python, SQL, and Machine Learning experience. You are responsible for directly sourcing data using languages and tools such as SQL, Python, Alteryx, Excel, and Salesforce, and analyzing that data in ways that support practical decision making and strategy setting.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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machine learning jobs in Dallas, Missouri-city, Missouri
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