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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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Experience and/or proficiency in Machine Learning, Artificial Intelligence, and/or Natural Language Processing. Experience developing and delivering technology in at least two of the following areas: data analytics, machine learning, data visualization, geospatial analysis, web services, or database development.
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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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An Assistant Learning & Development Manager, serving Hilton Brands is always working on behalf of our Guests and working with other Team Members. The Assistant Learning & Development Manager coordinates and manages the implementation of hotel trainings in line with brand and hotel policies and procedures.
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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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Key Responsibilities Mentorship & Growth: Mentor team members and lead by example, fostering skills development in machine learning and AI. Customer Engagement: Guide customers on the opportunities and risks of AI, helping them integrate AI solutions into their operations.
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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.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Microsoft Azure, Databricks. The team primarily focuses on modeling and forecasting key metrics surrounding delinquency and our collections strategy.
$46 an hourInternExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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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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Collect and analyze data using statistical and Artificial Intelligence /machine learning algorithmsSupervise and assist undergraduate students working on research projects and act as a liaison/mediator between undergraduate students and the faculty researcher.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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The Preschool Assistant Teacher will work closely with the Lead Teacher in developing and implementing an engaging and stimulating learning environment for preschool-aged children. Title Assistant Teacher, Marymount Early Learning Academy (ELA) Direct Supervisor Director, Early Learning Academy Status Full-Time, Exempt Grade 8 Job Profile 00241 Division Academic Affairs No. Direct Reports TBD Target Weekly Hours 40 Location 2807 N Glebe Road, Arlington, VA Benefits Eligibility Yes JOB SUMMARY Marymount University seeks experienced & passionate Assistant Preschool Teachers to join our team for the opening of the new Marymount Early Learning Academy (ELA) in September 2023.
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Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning) The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Train machine learning (ML) models for the creation of MT and natural language processing (NLP) models. Improves artificial intelligence/machine learning (AI/ML) tools and other applications in the client’s work environment, such as machine translation, speech or text recognition, input methods, keyboard/swipe technology, advancing searching, and other areas of human-machine interactions related to languages.
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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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on machine learning jobs Title: architect Company: Databricks Inc in Vienna, VA
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