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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Natural Language Processing (finetuning and distillation of LLMs, evaluation of LLM-powered applications, deploying models at scale) Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization.
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Conduct research and development of Natural Language Processing (NLP) models, and collaborate with engineers to bring these models into production. In this role, you will: Our team is looking for someone passionate about Natural Language Processing.
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MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
$80,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Strong understanding of machine learning, natural language processing, and deep learning. Collaborate with other executives, including the Chief Technology Officer (CTO), Chief Data Officer (CDO), and Chief Medical Infomatics Officer (CMIO), to integrate AI into the university's overall technology roadmap.
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Master's degree in Electrical Engineering, Computer Engineering, or related fields with courses work in Digital Signal Processing, Image Processing, Computer Vision, Data Structures, Pattern Recognition, Machine Learning.
$126,984 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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If you have industry experience developing production software for machine learning, especially in areas like recommendation engines, natural language processing, and deep learning for text data, we'd love to talk to you.
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Background in Artificial Intelligence (AI), Machine Learning (ML) Natural Language Processing (NLP) 8+ years of relevant background as a Data Scientist, Quantitative Researcher or Financial Engineer within the Investment Community with extensive experience in a data-driven professional setting - Preferably from a private credit, private equity, investment management or investment banking organization.
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As a Sr. Machine Learning Engineer, you’ll apply machine learning to solve classification, regression, computer vision, and natural language problems. SpotHero is seeking a Senior Machine Learning Engineer to join the Data Science squad.
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Research and Innovation: · Stay up to date with the latest advancements in the field of natural language processing and machine learning. Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
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PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience.
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The Sr. Back Office Analyst will be responsible for a variety of activities related to physical and financial natural gas trading, including settlement of natural gas commodity invoices, natural gas pipeline and exchange statements, payment processing, reconciliations, trade confirmations, and reconciliation of data to ETRM system.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Your primary focus will be in applying machine learning and data mining techniques, performing statistical analysis, and building high quality analytic systems - deep learning, anomaly detection, natural language processing, recommendation systems, predictive analytics and information retrieval.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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learning natural language processing engineer data jobs Company: Veradigm
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