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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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At AWS, we're hiring experienced Machine Learning Engineers with a background in NLP, generative AI, and document processing to help our customers understand, plan, and implement best practices around leveraging these technologies within their AWS cloud environments.
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Demonstrate deep knowledge of data integration principles ETL best practices and data governance frameworks with familiarity in machine learning concepts and data preparation techniques.
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Strong understanding of big data analytics , machine learning , and data manipulation techniques in geospatial contexts, providing insights into how emerging technologies can enhance GEOINT capabilities.
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Work with clients to design, develop, and deploy new architectures for machine learning & automation applications such as ELT functions, HPC/compute infrastructure, hybrid cloud solutions, database management, and optimization of DevOps procedures.
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Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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Experience with artificial intelligence or machine learning tools, such as Generative AI, LLM, or Retrieval Augmented Generation (RAG) Experience with analytics tools, such as Tableau, Qlik, Power BI, or MicroStrategy, and with programming, such as Python, Scala, R, SQL, PL/SQL, Shell Scripting, or PowerShell.
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Leverage Databricks for data engineering, analytics, and machine learning tasks within application development. Proven experience as a Full Stack Developer with expertise in Angular, Java, microservices, Python, and Databricks.
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The Assistant Learning & Development Manager coordinates and manages the implementation of hotel trainings in line with brand and hotel policies and procedures. An Assistant Learning & Development Manager, serving Hilton Brands is always working on behalf of our Guests and working with other Team Members.
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Extensive experience with Azure Data services (Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Data Lake Analytics, HDInsight, Machine Learning, and Stream Analytics). Apply your skills in Azure Cognitive Services, Azure P,aaS, and Machine Learning services.
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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.
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Wolters Kluwer Tax & Accounting North America is looking for a Sr. Field Sales Manager to join our Research & Learning team in a remote home office in the Northeast! As a Sr. Field Sales Manager for Wolters Kluwer Research & Learning, you will have primary responsibility for driving profitable sales growth in assigned accounting firms within a geographic territory that meets or exceeds sales goals.
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Required Technical Skills : Knowledge/experience in one or more of the following:Back-end Development: Experience with Java, PythonFront-end Development: Course or internship experience with UI/UX design concepts and frameworks (CSS/HTML, JavaScript ie Angular, Vue, Reacts)Experience with data engineering or machine learning technologies.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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machine learning jobs Title: platform Company: Red Hat in Reston, VA
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