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Oversee the integration of AI technologies into the platform, including machine learning models, natural language processing, and computer vision. Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R, and Python) along with applied mathematics, ML, and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks.
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We employ scalable cutting-edge machine learning (Client), deep learning (DL), and Natural Language Processing (NLP) knowledge to better target customers and prospects, understand and personalize the content, and context needed to optimize their book-listening experience.
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In conjunction and close collaboration with the Natural Language Processing Specialist and other personnel from across the libraries, this position provides leadership to the Libraries’ efforts to build foundational AI services for all UF students, faculty, and staff interested in incorporating AI technology and techniques in their discipline-specific teaching and research.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Must be able to design and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization.
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Education & Experience Ph. D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas. Experience with natural language processing (NLP), and large language models, such as BERT, GPT, or Transformers.
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Natural Language Processing: Knowledge and experience developing end-to-end NLP methodologies for sentiment analysis, text classification, topic modeling. 1+ years of experience in Natural Language processing methodologies.
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Experience implementing innovative machine learning and natural language processing techniques. Master's or PhD in a quantitative field (statistics, data science, computer science, psychometrics, educational measurement.
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Natural Language Processing (NLP): To understand the context and sentiment behind content engagement and social media interactions. Work will involve building semantic search engines, LLM fine-tuning, Vector DB applications, and cutting-edge data science work.
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Pour renforcer nos équipes, nous recherchons un Data Scientist Senior expert en Natural Language Processing (NLP) et en IA générative (GenAI) pour accompagner un grand groupe pharmaceutique dans l'exploitation de ses données textuelles.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Candidates must have strong capabilities in relevant research methods, which could include social network analysis, statistical analysis and open-ended data mining; applied machine learning including Natural Language Processing and image recognition; interactive data visualization; and website development.
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Preferred Qualifications Proficient with at least one of the following packages: SAS, STATA, R, or PythonAbility to demonstrate expertise in multiple regression modeling and multilevel modelingStrong preference will be given to candidates with experience with network analysis, machine learning and natural language processing.
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The Bioinformatics Programmer will also evaluate third party tools, especially for Next Generation Sequencing, Natural Language Processing (NLP), text mining and information retrieval, for adaptation into and use in our system, under guidance from the Bioinformatics manager.
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Possess a minimum of 12 years of data mining and modeling experienceProficient in one or more of the following software platforms: Python, IBM SPSS Modeler, Natural Language Processing, Large Language Models, Generative AI Applications, and/or User Activity Monitoring applicationsAdvising stakeholders on advanced data mining and technical matters, research, and applications.
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5+ Strong background in natural language processing, machine learning, and data analysis. As a Prompt Engineer, you will be responsible for designing and implementing the natural language processing (NLP) and machine learning (ML) models that power our web3 documentation chatbot.
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