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Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with computer vision, natural language processing, or reinforcement learning is a plus.
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This person shall possess bolts and nuts knowledge of various deep learning and bridge with conventional computer vision and image processing techniques. This individual will utilize his/her skills in deep learning/machine learning, image processing, mathematics, and software to develop algorithms to be integrated into KLA’s state of the art inspection platforms.
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Hands on experience with well-known Deep Learning frameworks such as TensorFlow and PyTorch. Experience with computer vision libraries such as OpenCV. Co-op, Machine Learning Software Engineerv- Summer.
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We are seeking an experienced candidate who should be able to perform below behaviors in their day to day role:Drive omni-channel data insights, conducting deep dives to understand the factors impacting performance, and identifying opportunities for enhancing revenue generation and improving customer experience using Pega CDH and Adobe Analytics EAP data.
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Collaborate with deep domain experts in fields like ML and NLP. Our engineers made major contributions to projects such as TensorFlow at Google. - You like to mess around with computer vision, hardware hacking, or bioinformatics in your free time.
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Good understanding about the mainstream deep learning models from multiple domains: computer vision, NLP, reinforcement learning, model optimization etc. Build the next-generation information extraction product powered by state-of-the-art AI and Deep Learning techniques.
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Working experience with deep learning, particularly in the areas relevant to metadata generation, recommendations, natural language processing, and/or computer vision. In this role, the primary focus is on recommender systems, so the candidate must be able to leverage machine learning techniques such as collaborative filtering, deep learning, reinforcement learning as well as Natural Language Processing techniques important in dealing with content metadata.
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Design and implement AI models optimized for edge devices (e.g., IoT endpoints, sensors). They specialise in cutting-edge technologies that bridge the gap between cloud and edge computing. Your work will impact real-world applications across industries, from autonomous vehicles to smart cities.
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Expertise in deep learning libraries such as PyTorch, TensorFlow, or similar. Model Training and Optimization: Train and optimize deep learning models on large-scale datasets to achieve high accuracy and efficiency.
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You have expertise in constructing and training deep neural networks, understanding architectures like CNNs, RNNs, LSTMs, and GANs, including experience with computer vision and image processing tasks.
$99,750 - $257,250Full-timeRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proficiency in using at least one mainstream deep learning frameworks (PyTorch/TensorFlow). Proficient in software engineering, with the ability to develop large scale and low latency infrastructure for deep learning data, modeling, and system evaluation.
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Through our commitment to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom.
$67,000 - $85,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Sr. Computer Vision and Machine Learning Engineer (hybrid) We have an immediate opening for a Sr. computer vision and machine learning engineer with experience in image dataset creation, object detection, deep learning, and AI modeling.
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Experience with NVIDIA and at least one of the modern distributed Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, MxNet Caffe, and Keras. We're looking for a highly technical Senior Engineer, Machine Learning & Computer Vision to help develop our pipeline and models that process hundreds of millions of georeferenced images from around the globe.
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Our client builds smart shopping tools powered by deep learning and computer vision to enable a seamless grab-and-go retail experience. Our client recently acquired an AI tool to help retailers unify the in-store and online shopping experience for customers no matter how they choose to shop.
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