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We are seeking a highly motivated individual with hands-on experience in model development and implementation using Machine Learning, Deep Learning, Natural Language Processing and/or Generative AI modeling techniques.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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Schmidt Sciences and Mount Sinai have partnered to ensure that the most brilliant minds in machine learning can focus on the development of Artificial Intelligence for Human Health.
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Develop production machine learning solutions to solve catalog building and quality problems such as entity recognition, entity resolution, attribute extraction, and category classification, image classification.
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We are looking for an entrepreneurial Machine Learning Engineer to join our lean, mean, innovative team of people on a mission to build the best AI-driven smart care management platform on the planet.
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That restorative justice, inquiry-based hands on learning, and authentic learning experiences provide the most effective environments for growth, success, and joy. With music at our core, students experience working together to create something bigger than their individual skills every single day, and this approach extends to our classrooms where project-based, hands-on learning cultivates curious, creative, and hardworking learners.
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In addition, the group extracts relationships insights by applying - distributed - graph, machine learning, and natural language processing algorithms on this Knowledge Graph, as well as on other text document collections, and feeds these insights, via means of reliable and scalable APIs, UI applications, and mobile applications, to several other firm products and employees across multiple divisions: Compliance, Investment Banking, Global Markets, Asset Management, to name a few.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning. Our structured 10-week internship provides extensive on the job training, in addition to educational speaker events, coaching and mentorship throughout.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. + Minimum 6+ years of hands-on experience building modern applications, or equivalent open source contribution (several projects as ongoing contributor.
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As world leaders in digital technologies including IoT, Artificial Intelligence, Machine Learning, Robotic Process Automation, Chatbots, Block Chain and Cyber Security, Sonata’s people and systems are nurtured to deliver on our commitment to excellence in business technology solutions.
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The Youth Worker will lead a group of 18-20 students daily in activities including sports, social-emotional learning, enrichment, and academic support programming. 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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Hands-on experience using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc) and CI/CD tools (IDEs, GitLab, GitHuB, Jenkins, CircleCI, etc.
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Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning. Good understanding of Machine Learning and Deep Learning technologies.
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As a Product Manager, Vice President on the Machine Learning & Optimization team, you are an integral part of the group that optimizes product features, models and AI capabilities for the Chase Digital Assistant and other conversational AI products.
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hands on machine learning jobs Title: solutions architect sr in Jersey City, NJ
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