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Industry experience using TensorFlow or Pytorch, and open-source software libraries to develop Representation Machine Learning Systems, e.g. Next-Best-Action, Recommendation systems; Deep Learning Neural Networks; Large Language Models; Image understanding; Document classification and keyword extraction.
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Industry experience using TensorFlow, Pytorch and open source software libraries to develop Representation Machine Learning Systems; e.g. Next-Best-Action, Recommendation systems; Deep Learning Neural Networks; Image understanding; Document classification and keyword extraction.
$147,500 - $245,800 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Expertise in Statistics, Machine Learning, Deep Learning, NLP, and Computer Vision (optional). You will work closely with product stakeholders to develop "intelligent" features and deliver outstanding business outcomes leveraging Machine Learning, Deep Learning, NLP and CV.
$126,000 - $216,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Deep expertise in a wide range of AI technologies and methodologies, including machine learning algorithms, deep learning frameworks, natural language processing techniques, cloud platforms (AWS, Azure, GCP), and computer vision applications.
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Expertise in Statistics, Machine Learning, Deep Learning, NLP (Computer Vision is a plus) Ideate with stakeholders to identify ML/Deep Learning opportunities for solutions.
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Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models. Design and develop solutions that utilize generative AI, leveraging Machine Learning (ML) and Large Language Models (LLM), tailored to business needs.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Deep knowledge of Artificial Intelligence (AI), Large Language Models (LLMs), Generative AI (Gen AI), Machine Learning (ML), and Applied Statistics. Deep knowledge of Data Science and related technologies (Python, R, scikit-learn, Tensorflow, PyTorch, etc.
$106,300 - $235,400 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Key skills needed are hands-on MLE experience, Python, Pyspark/Databricks, GenAI (NLP/LLM), Vector DB, Deep learning framework, and Azure. Five (5) plus years of experience in data engineering, machine learning, and cloud tech developing production grade software components and solutions.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Familiar with deep learning platforms (e.g., Keras, Tensorflow) and related classification and segmentation algorithms. Proficient at machine learning algorithms, familiar with algorithms like Generalized Linear Model, Random Forest, CART, and/or deep learning.
RemoteExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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The candidate will apply machine learning and deep learning techniques to solve challenges in today's image-guided radiation therapy, including real-time low-contrast liver tumor localization, automatic structure segmentation for on-line adaptive radiotherapy, and real-time MRI motion estimation and reconstruction.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.
$65,000 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Its proprietary ad buying engine is the first in the world to be powered entirely by autonomous Deep Learning algorithms, using neural networks to combine the power of first-party data, on-device signals, and aggregated contextual data to empower its agency and advertiser clients to generate outstanding results and reach their goals at every stage of the funnel, delivering self-driving personalized advertising fit for the cookieless future.
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Have a solid understanding of the D365 F&O technology stack and the peripheral technologies that can be leveraged including, but not limited to, Azure, Azure SQL, Power BI, Common Data Service, Power Apps, Azure Logic Apps, Azure Machine Learning, etc.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong expertise in NLP/NLU with focus on deep learning models and open source LLMs such as Llama 2, Falcon etc., We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
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Prepare a beautiful, orderly environment that fosters trust, exploration, deep learning, and independence. Familiarity with child-led philosophies such as Reggio Emilia or Montessori and/or open to learning more.
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deep learning jobs in Irving, TX
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