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These are difficult hands-on engineering challenges that integrate biophysics, image processing, deep learning, novel electronics, ultrasound, and real-time signal processing that can only be solved with a tight-knit multidisciplinary team.
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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Validated experience in a similar role such as Solutions Architect, Technical Consultant, or Pre-sales Engineer, with hands-on experience with GenAI Search or equivalent technologies.
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We are looking for a hands-on software engineer with deep knowledge of Microsoft Power Apps/Power Automate, including basic Microsoft Dynamics 365 understanding. Hands-on experience with SharePoint Online to include creating custom workflow solutions, and PowerApps / Power Automate (M365 Suite of Products.
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Additional activities include: learning and staying informed on the complex and comprehensive Research & Learning product line; learning and following a comprehensive sales process; updating and managing sales pipeline information for an assigned list of accounts; managing time and resources effectively; representing Wolters Kluwer within the industry and territory; and contributing to sales planning and forecasting activities.
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Experience with at least one Deep Learning framework such as PyTorch or TensorFlow/Keras. We are looking for machine learning experts with strong experience in Deep Learning that want to be part of a team that has an opportunity to make a significant impact.
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6+ years of professional experience in NLP systems, predictive modeling, recommendations/personalization, clustering, classification, sentiment analysis, time series, and deep learning. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
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Draw on deep technical knowledge and subject matter expertise to advise clients in multiple areas, including clinical psychology, psychiatry, neuroscience, and psychometrics, with an eye toward applications, such as digital mental health, psychological wellbeing, and predictive analytics and machine learning for personalized medicine and prevention.
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Machine Learning Engineers at CoStar play an important role in this process, by mining data from sources including billions of pageviews, millions of images, vast geographic data, deep property content, and much more.
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Page Lead Sales (Key Holder) - Williams-Sonoma Careers loaded. Our family of brands are Williams Sonoma, Williams Sonoma Home, Pottery Barn, Pottery Barn teen, pottery barn kids, Rejuvenation, Mark & Graham, west elm, or Outward.
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1+ years of hands-on experience in professional or academic setting with cooperative autonomous driving and sensor simulation tools, (e.g., CARLA, LGSVL, CARMAKER, or similar). 2+ years of hands-on experience in professional or academic setting with at least one of microscopic traffic simulation tools (e.g., SUMO, Vissim, Aimsun, Transmolder, or similar.
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Hands-on experience or familiarity with CARMA ecosystem (e.g., CARMA platform, CARMA streets, CARMA messenger, and CARMA Cloud) Conduct research on a variety of transportation engineering projects, which encompass traffic simulation, CDA, Digital Twin, V2X, CV, safety, and Intelligent Transportation Systems (ITS.
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Experience with implementing artificial intelligence (AI) and machine learning in transportation. At Leidos, we support the Federal Highway Administration’s (FHWA) Saxton Transportation Operations Laboratory (STOL), focusing on enhancing transportation operations, safety, mobility, and reducing environmental impacts.
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REACT, Angular JavaScript / ECMAScript, Perl, Python C# ASP.NET MVC, WEB API Hands-on experience with cloud technologies and deployments Hands on experience with data integration and orchestrations techniques, processes and tools such as Databricks, Kubernetes, etc.
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Hands-on experience with Source Code repositories and CI/CD pipeline solutions like Team Foundation Server/Azure DevOps, Bitbucket, and GitHub. This position is eligible for a $5,000 Sign-on Bonus and Relocation Assistance, if applicable.
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deep learning hands on sales jobs Company: Apple in Mclean, VA
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