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The Learning & Development Manager coordinates and manages the implementation of hotel trainings in line with brand and hotel policies and procedures. A Learning & Development Manager, serving Hilton Brands is always working on behalf of our Guests and working with other Team Members.
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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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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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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company.
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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Hands-on experience with popular machine learning libraries and frameworks, (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, SciPy, etc. A candidate who will architect and implement machine learning and extract-transform-load (ETL) algorithms and conduct data integrity and validation actions.
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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. Collaborate with data scientists and machine learning engineers to support model development through data preparation and analysis.
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Continuous Learning and Improvement: Willingness to stay updated on the latest trends and best practices in user experience design and Qlik application development. Experience with COTS enterprise data visualization tools (e.g., Qlik, SAP Lumira) Experience with ADVANA, PYTHON, R languages, Visio, and Data Bricks.
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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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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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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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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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As an apprentice, you will learn the business from the ground up, this will entail full administrative responsibilities, including customer service, interacting with both our stores and customers, completing administrative/clerical tasks, photography of jewelry for intake/tracking and learning the basics of jewelry repair starting with polishing and quality control, all while you train toward becoming a bench jeweler.
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Experience with machine learning including model development, evaluation and optimization using tools and packages such as: sklearn, NumPy, PyTorch, or TensorFlow. Experience in Machine Learning to include: feature extraction statistical approaches, linear and non-linear classifiers and deep learning.
$219,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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learning job Title: devops Company: Pri in Fairfax, VA
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