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Experience with SOTA models related to Natural Language Processing (NLP) like Classification, Summarization, Phrase extraction, Table Extraction and OCR. Knowledge in AWS Technologies: Terraform, CFT, Lambda, Fargate, ECS and also in SQL, Docker and Django.
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1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. Knowledge of developing or tuning Large Language Models (LLM) and Generative AI (GAI.
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Strong foundation in machine learning, natural language processing, and statistical analysis. Support the development and tuning of machine learning models, including but not limited to natural language processing and generation.
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The senior research specialist will be responsible for managing large-scale textual, survey, and experimental datasets and data analysis (including but not limited to the use of quantitative text analysis and/or natural language processing.
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We generate electricity and provide energy solutions and natural gas to millions of customers through our diverse portfolio of retail brands. Proficient coder of SQL, and an object-oriented programming language (Ruby, Python, VBA.
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Natural Language Processing: LLM familiarity (BERT), Neural Networks (LSTM) Natural Language Processing: LLM familiarity (BERT), Neural Networks (LSTM) Big Data Experience: Cloud Services (GCP, Microsoft Azure, AWS.
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The College's campus is set on 289 tree-lined acres in suburban Ewing Township and is known for its natural beauty and has 39 major buildings. This appointment may be or become subject to the terms of an agreement between the State of New Jersey and the Council of New Jersey State College Locals, AFT, AFL-CIO, State Colleges/Universities Adjunct Unit. The candidate should have experience with teaching undergraduate or graduate teacher candidates.
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Familiarity with modern computer vision, computational linguistic and/or transformer-based natural language processing (NLP), Natural Language Generation (NLG), Large Language Models (LLM) frameworks.
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Come and join our global team as a Research Intern - NLP (Natural Language Processing) to Develop prototypes showcasing the use of AI techniques to increase the value of cardiovascular imaging in various clinical scenarios.
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Querying, algorithms, data engineering, natural language processing, engine recommendation, experimentation, programming, data storytelling and intelligence, predictive modeling, and machine learning.
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Hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. Bachelor's / Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.
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A doctoral degree in Educational Measurement, Educational Psychology, Statistics, Artificial Intelligence, Natural Language Processing (NLP) or a closely related field is required. Oversee a coherent and cogent agenda for the development and execution of interdisciplinary research programs described above which are conducted by ETS scientists who work often in collaboration with researchers at universities and institutions from around the world in disciplines that include statistics, psychometrics, educational research, cognitive science, psycholinguistics, AI, computer science, and public policy.
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Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search. Strong track record of working with language modeling technologies.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Technical Acumen: Ability to comprehend AI technologies, NLP (Natural Language Processing), machine learning concepts, and their applications within enterprise solutions. At Genmab, we’re committed to building extra[not]ordinary futures together, by developing antibody products and pioneering, knock-your-socks-off therapies that change the lives of patients and the future of cancer treatment and serious diseases.
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In this role, you will apply your expertise in generative AI, large language models, PyTorch, and natural language processing to develop cutting-edge machine learning solutions for cancer research and therapeutic development.
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natural language jobs in Princeton, NJ
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