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Experience in supporting Deep Learning, Machine Learning or HPC networking infrastructures; experience with networking technologies as well as understanding deep learning frameworks such as TensorFlow or PyTorch.
$112,000 - $224,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience communicating and presenting to technical and business audiences Preferred Qualifications: BS, MS or Ph. D. degree in Computer Science or related quantitative field Solid understanding of at least one Deep Learning framework (PyTorch, Tensorflow or MXNet) Experience building Deep Learning - Computer Vision or Natural Language Processing or Recommender Systems models using the frameworks.
$136,000 - $203,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking an Actuary with a strong passion for risk management, extensive expertise in insurance pricing, and a deep understanding of FinTech products to join our EG InsurTech team. Preferred: Proficiency in common machine learning programming languages such as Python, R, and Spark, and familiarity with various machine learning algorithms.
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This position must have deep knowledge of and commitment to the tenets and ethics of journalism and the role of journalism in society; know how to create innovative content on all platforms; have a demonstrated history of attention to racial equity in hiring and editorial practices and an understanding and commitment to community engagement.
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2+ years of experience with solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience. Building the prediction model by mapping the shopping journey of our users to chatbot actions, including suggesting common question-answers and transferring the user to human agent, with cutting-edge prediction models (like Boosting, deep CTR.
$129,200 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data/ETL and feature engineering pipelines. Our work spans across a variety of datasets and Machine Learning models and across a diverse technology stack ranging from Spark, SageMaker, Airflow, DataBricks, Kubernetes, AWS and much more.
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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.
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Familiar with deep learning frameworks (Tensorflow, Pytorch, Caffe), ML and image processing tools, including sklearn, opencv, ffmpeg, etc; Familiar with deep learning frameworks (Tensorflow, Pytorch, Caffe), ML and image processing tools, including sklearn, opencv, ffmpeg, etc.
$71 a yearInternExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Python or related languagePreferred qualification - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customersAmazon is committed to a diverse and inclusive workplace.
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A PhD degree in Machine Learning or Deep Learning is a massive plus. Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) Proficient in cloud technologies (Databricks, AWS, GCP), with hands-on experience in creating Machine Learning Pipelines.
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Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred.
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Hands on experience in developing, scaling and implementing machine learning solutions using relevant programming languages (such as Python), state-of-the-art deep learning frameworks (such as PyTorch and Tensorflow) and code development and review tools (such as Github.
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The ideal candidate has at least two years experience working in audio machine learning, experience deploying deep learning models to production, and a love for programming and music.
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deep learning jobs in Mercer Island, WA
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