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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning. We are looking for a Senior Data Scientist to lead the development and improvement of cutting-edge machine learning and deep learning models powering Walmart Customer Modeling.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - 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.
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The ideal candidate will have a strong background in computer vision, machine learning, and deep learning, as well as experience working with neural radiance fields. Strong background in computer vision, machine learning, and deep learning.
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Basic affinity or interest in machine learning/deep learning/artificial intelligence. Crafting internal tools that empower our our Machine Learning team to use to enhance search system quality and data.
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Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions.
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The Business Intelligence Analyst is primarily responsible for planning, organization, management, design, delivery, maintenance and support of the back-office ERP application, JD Edwards and its related systems (DSI, EDI, Oracle EPM Cloud.
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We are seeking a leader and highly analytical Director of Business Intelligence with a strong focus on data visualization and expertise in Domo (or Tableau/Power BI), to join our team. 5+ years of experience specifically within Business Intelligence focused role or other data centric position.
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Image Processing, Computational Imaging, Computer Vision; Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images, is preferred; Capable of prototyping Algorithms using MATLAB or Python, and implementing algorithms in C.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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Williams-Sonoma, Inc. is looking for a Marketing BI (Business Intelligence) Analyst who is responsible for processing data, developing dashboards, and extracting actionable insights for the Digital Marketing and other Williams-Sonoma teams as needed.
$65,000 - $77,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Build machine learning models for analysis of queries using NLP, Deep Learning. Experience with Deep Learning / Neural Network frameworks such as Caffe, Tensorflow, PyTorch, etc.
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B) Evaluate and productize deep learning and other novel approaches that complement and improve the performance of existing algorithms in the inspection space. Algorithms Engineer (Deep Learning/C.
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In Computer Science, Information Systems, or related field 2+ years of database development and data analysis experience 2+ years of data transformation experience A good understanding of dimensional models (Star or Snowflake schemas) Proven experience as a BI Developer or similar role, with a strong understanding of business intelligence concepts and methodologies Proficiency in SQL programming and experience with relational databases (e.g., SQL Server, Oracle, MySQL, etc.
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As a Machine Learning Engineer at TRM Labs, you will collaborate with an experienced team of engineers, data scientists, and research scientists to build scalable systems to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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