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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP) Serve as the subject matter authority on all things machine translation and natural language processing.
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Deep Learning, Red Hat OpenShift, Tensorflow. Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA.
$136,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Good understanding of machine learning, deep learning (including LLMs) and natural language processing and ability to optimize machine learning models to adapt to solving various kinds of issues.
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Engage in the creation of experiments, prototyping, and architectural design, contributing to a diverse range of computer science domains such as machine learning, data mining, natural language processing, and performance analysis.
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We are a well established Defense contractor with deep expertise in Machine Learning and Deep Learning projects for Military and Homeland Security programs. Develop, implement, and optimize cutting-edge machine learning algorithms related to image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven understanding of machine learning, deep learning (including LLMs) and natural language processing and ability to optimize machine learning models to adapt to solving various kinds of issues.
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Proven experience as an NLP Engineer, Machine Learning Engineer, or similar role, with a strong background in natural language processing and machine learning.
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Performing and leading developments using machine learning techniques in one or more of the key areas like natural language processing, computer vision, information retrieval, entity recognition, product classification, and recommender system.
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Interest in natural language processing (NLP), chatbot architecture, AI, and machine learning. Collaborating with UX designers, researchers, developers, subject matter experts, natural language processing (NLP) analysts, and business partners.
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It has the mission to explore, enable and exploit artificial intelligence, machine learning, natural language processing, image recognition and cognitive computing at scale for countless use cases across Alpha/CRD, Global Services, Global Advisors, Global Markets business lines, and corporate functions.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with ML/AI algorithms, deep learning, or natural language processing (NLP). SiriusXM is looking for a senior applied science leader to join our Science and Machine Learning.
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Demonstrate expert knowledge in machine learning and rule-based systems as applied to computational linguistics and natural processing, as well as development and execution of annotation tasks with teams of experts.
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We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in productionizing Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts.
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Lead Data Science Projects: Design, develop, and implement predictive modeling projects that address critical business problems, leveraging expertise in machine learning, deep learning, natural language processing, generative AI, and other areas.
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