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Work as an Artificial Intelligence and Natural Language Processing (AI/NLP) software developer. Assist with development of virtual assistant using natural language processing and artificial intelligence systems.
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Understanding of natural language processing (NLP), computer vision, and other AI/ML subfields. Hands-on experience in machine learning techniques, NLP algorithms and Optical Character Recognition (OCR.
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We are seeking a biologist with a strong understanding of therapeutic discovery and machine learning – particularly natural language processing (NLP) and large language models (LLMs) – to help guide and implement internal strategy for leveraging and developing such platforms.
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Researching and identifying Artificial Intelligence (AI) methods – including Machine Learning (ML) and Natural Language Processing (NLP) methods. Excellent understanding of ML, NLP, and statistical methodologies.
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Minimum of 5 years of experience in machine learning or deep learning engineering or demonstrated proficiency in Natural Language Processing (NLP) or Natural Language Generation (NLG.
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Two (2) years of relevant AI engineering experience in natural language processing (NLP). We are seeking a Software Engineer that specializes and has a strong desire to work with artificial intelligence (AI)-based technologies revolving around natural language processing.
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Research and innovation: participating in the academic research of deep learning, CV and Natural Language Processing (NLP); exploring entire new problems. Rich experience in modern machine learning, particularly in modern CV, NLP and deep learning.
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Advanced NLP Development : Design, develop, and optimize the Natural Language Processing (NLP) models using state-of-the-art techniques, with a focus on understanding complex language structures, semantics, and context.
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Have expertise in Machine Learning best practices (e.g. model evaluation and hyperparameter tuning, A/B test, feature engineering, feature/model selection), algorithms (e.g. gradient boosted trees, neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization and recommendation, anomaly detection.
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We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas.
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Knowledge and experience of emerging technologies such as machine learning (ML), artificial intelligence (AI), natural language processing (NLP), UI/UX, Python, and business intelligence tools such as Tableau.
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The Lead Data Science and Machine Learning (ML) executes Ontada’s technology roadmaps in ML and Natural Language Processing (NLP) Data Platform roadmap through close collaboration with Ontada commercial, chart abstraction and engineering teams.
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At least 2 years’ experience with natural language processing. Utilize advanced data science techniques, including NLP and OCR to enhance the compliance and risk management processes.
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Truleo.co) Truleo is an advanced natural language processing (NLP) platform that automates the review and analysis of body worn cameras (BWC). truleo.co) Truleo is an advanced natural language processing (NLP) platform that automates the review and analysis of body worn cameras (BWC.
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Responsibilities:Serving as a data scientist for fair lending and fairness model review for a qualitative review of models including AI/ML natural language processing (NLP) models.
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