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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Passion about continuously learning new technologies, frameworks, and services.
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Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. Senior Machine Learning Engineer (Python, Spark, MLOPS, Cloud) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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The vision of the Machine Learning (ML) Engineering team at Disney is to drive and enable ML usage across several domains in heterogeneous language environments and at all stages of a project’s life cycle, including ad-hoc exploration, preparing training data, model development, and robust production deployment.
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Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform) for machine learning development and deployment. Proficiency in programming languages such as Python, R, or Java. Strong understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, etc.
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Position Summary NYU's Stern School of Business has an exciting opportunity available for an Assistant Director, Experiential Learning in the Office of Learning Innovation. The Assistant Director will manage day-to-day operations of key Stern Experiential Learning programs, including overseeing Experiential Learning communications and marketing communications, collecting and analyzing data for all Experiential Learning courses throughout each semester, attending and facilitating workshops associated with Experiential Learning, and managing annual operating budgets for initiatives and events.
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New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer. Senior 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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Strategy: The Learning & Development Manager will establish the training business strategy and roadmap to help: (1) improve outcomes for CINQCARE Family Members; and (2) enhance the efficacy of other CINQCARE. business divisions.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Javelin is a machine learning software solution that allows companies to autonomously and accurately vet high school and NCAA athletes as sports marketing assets, considering both their athletic and social media performance.
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Partner closely with the Capri Learning and Development Team along with the Michael Kors Retail team to continue to build training programs to drive engagement and support the career growth of our corporate and retail populations within the Capri Holdings’ group (Jimmy Choo, Versace, Michael Kors), with a primary focus on the Michael Kors brand.
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You have successfully partnered with Product, Data Engineering, Data Science and Machine Learning teams on strategic data initiatives. Modernize Signifyd’s Machine Learning (ML) Platform to scale for resiliency, performance, and operational excellence working closely with Engineering and Data Science teams across Signifyd’s R&D group.
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Manage participation of Hearts & Science employees in larger OMG learning programs such as Amazon Omega, OMG’s Global learning programs: Accelerate/Fuel/Ignite, and agency Certification Days.
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Title: machine learning Company: Bose in New York, NY
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