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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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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 Yesterday - UpvoteDownvoteShare Job
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
$166,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine Learning: experience in applying machine learning techniques to radar signal processing tasks. Seeking a hands-on Engineer requiring experience in signal processing and real-time implementation on embedded platforms.
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Position Overview: The FPGA Engineer will be responsible for the design, development, and deployment of FPGbased systems using RFSoC. The successful candidate will have extensive experience with FPGA development tools, particularly Vivado, Vitis, and PetaLinux, and will play a critical role in integrating and optimizing FPGA designs in advanced system development.
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The world of healthcare is changing fast and our team is "tip of the spear" when talking about advancements in Diagnostic Modalities, Image-Guided Intervention, AI, Machine Learning, and Health Blockchain Technology.
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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.
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Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology. Ph. D. degree in Computer Science, Machine Learning or a related field.
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Analyze and challenge current processes; identify opportunities to simplify, streamline and automate using RPA or Machine Learning tools as a subject matter expert. Highly knowledgeable about architectural patterns, technology components, vendor solutions in the field of RPA and Machine Learning.
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Design, build, and maintain Azure DevOps Pipelines for continuous integration and continuous deployment (CI/CD) workflows. 2024 We are seeking a Software Engineer with a strong background in cloud services and infrastructure, who is passionate about security, automation, scalability, and reliability.
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Top 3 Required Skills:Comp Sci degree, Azure DevOps (ADO), Microsoft Azure CloudTop 3 Desired Skills:Gitflow branching experience, Kubernetes experience, CICD pipelines Basic PurposeThe Digital DevOps Engineer will join the Digital Engineering organization focused on delivering rapid, incremental capabilities to the Cloud that improve the member/user experience and drive value.
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Additional areas of focus may include Predictive Model development and validation, using Natural Language Processing (NLP) to extract information from complex data sets, and additional machine learning algorithms.
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Work with research informatics and data teams to deploy enterprise-level cheminformatics and machine learning solutions across the discovery and medicinal chemistry groups. This will include implementing machine learning methods for physicochemical property predictions as well as ADME/PK/tox endpoints.
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As the Lead Mechanical Engineer, you will play a pivotal role in designing, prototyping, and optimizing mechanical systems for autonomous vehicles. They're seeking a Lead Mechanical Engineer to join their growing team.
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Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required. You will also work with scientists and with experts in data management, lab automation, molecular design, and machine learning in the Global Biologics organization to build and continuously improve data infrastructure.
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deployment machine learning engineer jobs Company: Zoox in Boston, MA
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