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Knowledge of natural language processing (NLP) or computer vision. We are currently looking for an experienced engineer with expertise in machine learning, large language models and artificial intelligence.
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Experience working with ML/AI products and techniques pertaining to natural language processing, such as optical character recognition, document classification, named entity recognition, machine translation, etc.
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Text mining and Natural Language Processing (NLP) is preferred. Knowledge of databases, data structures, data processing and data mining from large enterprise transaction systems Epic, Infor/Lawson, McKesson HPM, Payer Claims or similar applications in healthcare or other industries.
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Designs and deploys machine learning and other data processing and analytical pipelines to build a strong foundation to manage ontologies for diagnoses, treatments, and lab data as well as extract meaningful data from notes using natural language processing algorithms, and data visualization through dashboards.
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Experience with Natural Language Processing (NLP). An eagerness to learn and apply techniques in Large Language Models (LLMs) and Generative AI. Proficiency with deep learning frameworks and infrastructure, such as TensorFlow or PyTorch.
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As a Machine Learning Engineer, you will be a crucial part of our tech team, focused on the innovative application of machine learning techniques across various domains. Developing data science solutions leveraging modern tools and cloud computing infrastructure.
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Backed by a proprietary natural language processing model, our platform has handled over half a billion humanized conversations to date, enabling us to deliver automation at a scale that no other competitor in the messaging industry has been able to match.
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At least 2 years’ experience with natural language processing. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Position Overview: As the Lead Natural Language Processing (NLP) Engineer, you'll be responsible for leading our NLP engineering efforts and driving innovation in NLP technologies.
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Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Prior experience with Natural Language Processing (NLP) and common machine learning models. Stay up to date with cutting edge technologies in the field and streaming data processing and help further a culture of innovation and excellence within the team.
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