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Programs on 5G, quantum computing, artificial intelligence, deep learning, quantum computing and from artificial intelligence and deep learning to cyber. programs on 5G, quantum computing, artificial intelligence, deep learning.
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Are you an experienced Learning & Development Manager with experience who has launched an LMS? Long established manufacturing organization is seeking an experience Learning & Development Manager in Chicago for a hybrid opportunity, great pay & benefits.
$105,000 - $115,000 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The role will project manage and drive critical initiatives tied to our Employee Value Proposition in Learning and Development that directly impact the success of employees across all Saint-Gobain North America's businesses.
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As a machine learning engineer, you’ll have the opportunity to immediately drive a huge, direct impact for Propel! Lead Propel in building machine learning infrastructure that all teams can take advantage of.
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Provided training with a "training for all' approach for learning about each of the SPS standards, e.g., 5S, Visual-Management, Standard Work, Kaizen events program, SMED, Flow, Poka-Yoke, PDCA, etc.
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Have expertise in Machine Learning best practices (e.g. model evaluation and hyperparameter tuning, A/B test, feature engineering, feature/model selection), algorithms (e.g. gradient boosted trees, neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization and recommendation, anomaly detection.
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Through our commitment to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom.
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Familiarity with adult learning theories and instructional design models (e.g., ADDIE, STAR), specifically within the context of Beckman Coulter. Incorporate multimedia elements, simulations, and other interactive components to enhance the learning experience for Beckman Coulter employees.
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5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful. We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on-prem and in the cloud.
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Leveraging this therapeutic bond, and the expertise of our Stanford-trained clinicians and scientists, Woebot is constantly learning from the experience of more than one million people and hundreds of millions of messages exchanged to deliver high quality CBT-based therapeutic tools that are psychologically related and responsive to a person’s dynamic state of health.
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We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React. Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks.
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Up to 130 students from ages 5 – 21 from over 20 countries will participate in academic, creative arts, social-emotional learning, physical education, field trips and life skills classes. The IRC is seeking a Social Emotional Learning Teachers to create and implement social emotional learning curriculum for Lower School (Grades K-5.
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As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
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Innovative Refrigeration Systems is looking to hire a Lead Machine Learning Engineer full-time onsite in Waynesboro, VA. You would be joining our software engineering department to build machine-learning models optimizing energy efficiency for heavy industrial refrigeration / cold storage facilities.
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Provide technical expertise and support to POD teams in the development and implementation of machine learning and AI solutions, leveraging Azure, Databricks, and MLflow. As a Machine Learning Engineer supporting POD teams, you will play a pivotal role in providing technical expertise and guidance to ensure the successful development and delivery of machine learning and AI solutions.
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learning job Title: expert Company: Gartner
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