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Causal modeling, NLP, time series, deep learning, etc. Innovate in machine learning lending solutions: By leveraging your deep expertise in machine learning, you will contribute to the development of cutting-edge lending solutions that revolutionize access to credit for small and medium-sized businesses (SMBs.
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The ideal candidate will be an experienced pickleball coach with a deep passion for thesport and a desire to inspire others through effective teaching. Apply now to be part of our innovative platform andhelp shape the future of learning in pickleball.
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Experience leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc. Help partners identify and assess customer Artificial Intelligence (AI), Machine Learning (ML), or Generative Artificial Intelligence (GenAI) opportunities to discover cloud solutions to recommend, plan, and address core market opportunities and use cases.
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AI, Machine Learning, Deep Learning. Experience with implementing or maintaining identity and access management solutions:Products/Vendors: Active Directory (AzureAD/AD), Okta, Ping, Azure AD, SailPoint, BeyondTrust, Siteminder.
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Under the hood, Flippy relies on our platform which combines deep learning and other computer vision technologies with optimization-based scheduling and nonlinear control to adapt quickly to a variety of kitchen workflows, while achieving graceful and efficient motion.
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Experience building and using state of the art models such as deep learning in NLP or computer vision or similar application. Experience with deep learning in NLP and knowledge of language embeddings.
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As a Senior Data Scientist at WBD, you will take a key role in developing and deploying suites of machine learning models to predict content performance on Max, in turn driving business decision-making for our streaming platform.
$119,700 - $222,300 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Minimum Qualifications:- Experience in Content Partnerships, and as Learning or Training Program Manager, L&D Consultant, Learning Portfolio Manager or Instructional Design Manager- Deep understanding of partner managers day-to-day responsibilities, goals, required capabilities and skill set- Proven ability to build, execute, manage, and improve programs and projects.
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Knowledge of standard machine learning and deep learning frameworks and libraries such as TensorFlow, PyTorch, NumPy, and Pandas. The ideal candidate has strong expertise in machine learning / deep learning and is dedicated to creatively applying research and owning the implementation of software that changes the way games are made.
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Experience with TensorFlow, PyTorch, or related deep learning frameworks. Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domain.
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In this role, you would be an individual contributor on our deep learning modeling team, working on research and development projects to help us implement state of the art deep learning techniques.
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Experience with deep learning models and experience with Natural Language Processing (NLP) Experience with machine learning frameworks such as TensorFlow, Keras, scikit-learn and Pytorch.
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At Deloitte, we are executing a rapid transformation of our services and solutions to enable Artificial Intelligence and Machine Learning (AI/ML). These applications cross AI and analytics problems in NLP, imaging, anomoly detection, and deep automation.
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Implement machine learning and deep learning solutions for a diverse set of business problems. This individual will be responsible for designing, architecting and developing machine learning and deep learning systems and platforms.
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Hands-on experience in one or more of the following areas: Machine Learning, Deep Learning, Recommender Systems, Data Mining, Natural Language Processing, or Computer Vision. We are a pioneering Machine Learning team at TikTok, committed to spearheading innovation in leveraging cutting-edge technologies in foundation models to enhance TikTok's experience, an avenue that our organization sees as a very promising future direction.
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