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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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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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Experience with statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods. Develop solutions focused on data science and engineering using machine learning, deep learning algorithms, statistical concepts, data modeling, software development and visualizations.
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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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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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Candidate knowledge of Canvas, Zoom, non-linear video editing software, and audio editing software is required, as well as knowledge of emerging technologies as related to teaching and learning.
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Monitors cell saver and operates the heart-lung machine, blood gas examination machine, clotting time/heparin analyzer, and cardiac-help devices. Monitors cell saver and operates the heart-lung machine, blood gas examination machine, clotting time/heparin analyzer, and cardiac-help devices.
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This role involves continuous integration and continuous deployment (CI/CD), infrastructure as code (IaC), and ensuring the reliability and scalability of our cloud applications. Preferred Qualifications: Relevant certifications (e.g., Microsoft Certified: Azure DevOps Engineer Expert, Microsoft Certified: Azure Administrator Associate.
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A thorough familiarity with Machine Learning or Generative AI methodologies, leveraging platforms like Microsoft’s Semantic Kernel, Google’s Vertex AI, or the Open AI API. Proficiency in utilizing front-end and back-end development tools and libraries such as React, Angular.
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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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Eaton's ES AMER MFGSC division is currently seeking a EHS Coordinator to join our team in Dallas, TX. The Environmental, Health, and Safety (EHS) Coordinator supports environmental, health, safety, and security efforts at the site focusing on the deployment of Managing Environmental Safety and Health (MESH) initiatives, working directly with front line leaders.
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These data sets support both off-line and in-line machine learning training and model execution. Strong background with source control management systems (GIT or Subversion); Build Systems (Maven, Gradle, Webpack); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps.
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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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ATG Innovations, Leidos, and core partners will support the DHMSM Program Executive Office (PEO) and the Defense Health Agency in the global deployment of our proposed EHR system that will deliver improved system capability to the DoD whenever and wherever healthcare is required.
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Automate infrastructure provisioning, configuration, and deployment using Infrastructure as Code (IaC) tools such as Terraform Implement best practices for cloud security, compliance, and governance, including identity and access management (IAM), organization policy, deny policy, encryption, and network security.
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deployment machine learning jobs Title: platform engineer Company: Fast Enterprises in Dallas, TX
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