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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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You will drive the delivery and adoption of novel data science approaches across medical imaging, natural language processing/generation (NLP/NLG), autonomous systems, edge-AI, graph neural networks, and other state-of-the-art applications.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Job Description :JOB SUMMARYThis position supervises and participates in the development of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science and machine learning practices.
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As an Artificial Intelligence Intern, you will be part of pioneering projects involving machine learning, natural language processing, computer vision, and more. To Qualify: Ideal candidates are current students pursuing or recent graduates of a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related fields with a focus on AI technologies.
$4,000 a monthInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Supply Chain AI Architect, you will leverage your expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges.
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1+ years of experience in machine learning techniques such as classification, regression, decision trees, neural nets, large language models, recommender systems, natural language processing, clustering, anomaly detection, sequential pattern discovery, text mining, and familiar with the latest trends and applications of generative AI.
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The Emory University Department of Biomedical Informatics is seeking a postdoctoral researcher skilled in the advanced application of natural language processing and machine learning techniques, addressing a wide spectrum of medical and public health issues.
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This is a brand new internship that will work with data scientists and engineers to leverage machine learning, natural language processing, deep learning and other advanced analytics approaches to support our business partners in Supply Chain, Sales, Digital Marketing, Category and Revenue Management.
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Bachelor’s degree, or master’s degree in computer science, Informatics, Statistics, Applied Mathematics, Data Science, Machine Learning, or Artificial Intelligence and 8-10 years’ experience in industry or technology consulting.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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The position is open to applicants employing any methodology in their research and teaching, but applicants with specializations in computational approaches at the intersection of Science & Technology and International Affairs such as GIS, machine learning, deep learning, natural language processing, Bayesian statistics, network analysis, or other computational tools are especially encouraged to apply.
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Deep understanding of AI technologies including machine learning (ML), natural language processing, computer vision, deep learning, retrieval-augmented generation (RAG), and generative AI models.
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Minimum of five years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds.
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Proficient in creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, natural language processing, decision trees, neural networks, etc.
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You will lead the development of innovative NLP solutions, leveraging your expertise in natural language processing, machine learning, and data science to deliver scalable and reliable solutions.
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data science machine learning language processing jobs in Atlanta, LA, France
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