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A validated understanding of the business issues of large CSP, accelerated Computing/ Data Center technology/ Deep learning & machine learning. Experience with deep learning, data science, and NVIDIA GPUs.
$391,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Previous experience in leveraging deep learning libraries (e.g., OpenCV, Theano, Caffe, Keras and TensorFlow) and machine learning datasets and model inference from AlexNet, ImageNet, MNIST, etc.
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training. Strong working knowledge of deep learning, machine learning and statistics.
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We are looking for a versatile, all-rounder with a background and interest in Embedded Systems, Machine Learning and Data Engineering to help design and build Convolutional Neural Networks for Smart Sensors, help design, debug, and troubleshoot firmware for automotive IOT devices and help out with data engineering tasks, like data workflow, gathering and analysis.
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Client Partner Apply now WHO WE ARE SEW is the # 1 Energy and Water Cloud Platform, providing cloud-based Software-as-a-Service (SaaS) solutions for Digital Customer Engagement, Field Workforce Engagement, and Smart AI / Machine Learning to the Energy and Utility sector.
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Description :Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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Exposure to machine learning in video compression and multimedia quality enhancement. Strong understanding of multimedia standards and streaming technologies like HLS, DASH, RTSP, and RTP.
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Preference for candidates that have sold services on the Microsoft technology stack including, Azure, SQL, Machine Learning, IoT, Power BI and Application Development. Preference for candidates that have sold services on the Microsoft technology stack including, Azure, SQL, Machine Learning, IoT, Power BI and Application Development.
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The key technology domains we are currently focused on include business process automation, data curation, industrialized analytics, machine learning & AI and scalable delivery platform.
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Desired background includes control theory, multi-agent systems, machine learning algorithms including reinforcement learning and graph learning, embedded systems design, modeling and simulation control systems, and computer programming (C.
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Proficiency in programming languages such as Python, R, or Java, and familiarity with machine learning frameworks. Manage the full machine learning pipeline, including data collection, preprocessing, development, evaluation, and deployment.
$210,600 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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THE DAY-TO-DAY Lead the strategic direction and execution of the company's machine learning initiatives, centered around a data-centric approach and deep learning technologies. WHAT YOU’LL DO This individual will lead the development and implementation of sophisticated machine learning models and algorithms, you'll empower our teams to achieve exceptional ad targeting, optimization, and campaign personalization using a data-centric approach.
$650,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency.
$25 - $35 an hourFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Senior Machine Learning Engineer | Paying around $160K + Bonus/RSUs | Hybrid | Irvine. We are looking for a Sr Machine Learning Engineer working on applications for computer vision, audo processing and language models.
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We are broadly interested in leveraging computational optics, optical system design, and machine learning/AI to improve optical microscopy, sensing, and information processing. This makes us surrounded by global and national companies, such as Google, Amazon, Microsoft, Broadcom, Blizzard Entertainment, Edwards Lifesciences, and many fast growing startups in Southern California.
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machine learning jobs in Irvine, Fredericksburg, Virginia
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