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Artificial intelligence and predictive analytics in health (i.e. Machine Learning, Large Language Models, Natural Language Processing ) DBMI has research and/or service programs in the following areas: Clinical informatics, clinical research informatics, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, medical artificial intelligence, privacy technology, global health informatics, equity in informatics, and translational bioinformatics.
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As a Machine Learning Engineer - Technical Lead II for Crowe Intelligent Document Analyzer (CIDA), you will design the future of this document extraction product as it transitions from a combination of Natural Language Processing and embeddings models to fully integrate with Crowe's in-house Generative AI platform and to leverage Large Language Models (LLMs.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP.
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Responsibilities: Developing and training machine learning models using Natural Language Processing (NLP) techniques. Requirements: Advanced degree (Ph. D. preferred) in a field like Applied Linguistics, Computational Linguistics, or Data Science, with a focus on building and deploying machine learning models for text analysis.
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Preferred Qualifications Knowledge of cross-platform development frameworks, such as Flutter/Dart. Knowledge of Typescript Understanding of modern SRE best practices. Build well-designed, well-engineered, stable, performant mobile applications using Flutter, Kotlin, and/or Java. Guide and mentor other team members by providing oversight and direction.
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Experience developing applications using Flutter. Strong experience using Kotlin and Java in building Android consumer-facing applications. Education Bachelor's degree in Computer Science, Engineering, Information Systems, or related field/work experience.
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This may also include patent work related to image processing, databases, access management, natural language processing/understanding (NLP/NLU), and autonomous machines/vehicles.
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Ideal candidate would have at least 3 years of industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing. Kilpatrick Townsend’s Electronics & Software Patent Prosecution team seeks either a USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field.
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Experience with one or more of the following: recommendation/ranking system, online advertising, information retrieval, natural language processing, large language model or related fields.
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Experience with statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods, forecasting, linear programming, natural language processing, LLMs.
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Data Science : Apply natural language processing and machine learning/AI advanced techniques to train and optimize models for automating analysis, processes and insight. We're looking for a Principal Data Scientist to support a program which leverages Natural Language Processing for analysis.
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3+ years of demonstrated experience delivering real-world software solutions using Natural Language Processing, machine translation, or other related disciplines. Black Bear Technology is hiring a computational linguistic expert to improve the virtual assistant's Natural Language Processing (NLP) model by analyzing user data, troubleshooting false positives, and identifying new features.
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Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
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Understanding and hands on experience in Large Language Models, Natural Language Processing, Computer vision, Image Processing, and other generative AI techniques. As a Principal Engineer, you will have the incredible opportunity to be at the forefront of artificial intelligence, machine learning, and deep learning research and development.
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Expert-level experience with Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG). Machine Learning, AI & GenAI: Proficiency with deep learning frameworks such as TensorFlow.
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machine natural language processing jobs Title: specialist Company: Deloitte
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