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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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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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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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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. We value our client relationships and are committed to learning and furthering the business, as well as legal goals, of each company we work with.
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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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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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Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
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Proficient in emerging technologies such as deep reinforcement learning, imitation learning, computer vision, and natural language processing, with a focus on their application in robotics.
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Ability to work with/in Supervised and Unsupervised Learning, Deep Learning Networks, Natural Language Processing or Computer Vision, Recommender Systems, Python, and/or Software/ML Tools.
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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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learning natural language processing jobs Title: specialist Company: Deloitte
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