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Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
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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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LLM and NLP : Experience in Large Language Models and Natural Language Processing. ResponsibilitiesWe are in search of a skilled Data Scientist to join our Technology Team. The role involves developing Large Language Model (LLM) applications, including specialized agents and tools, to assist our employees and clients in answering questions and streamlining daily operations.
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Experienced with traditional as well as modern machine learning and statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
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Understanding of natural language processing (NLP), computer vision, and other AI/ML subfields. At least one implementation of using Large Language Models (LlaMa2) with a GPU based infrastructure.
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Lead the design and development of advanced machine learning models to solve business challenges, leveraging techniques such as deep learning, reinforcement learning, natural language processing, and computer vision.
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Language Model Integration: Integrate and fine-tune pre-trained language models (e.g., GPT, BERT, SAVVY, LlaMa2) to suit specific AI/ML applications. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch.
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Strong understanding of machine learning techniques, NLP algorithms and Optical Character Recognition (OCR) CGI is seeking a Technical Lead for Artificial Intelligence and Machine Learning. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying and scaling AI systems.
$85,000 - $223,200 a yearExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We are looking for a motivated Data Scientist to join our interdisciplinary team for an exciting opportunity in developing natural language processing and machine learning tools to leverage electronic health record data to support clinical care and research in the neurosciences.
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Designing and implementing Natural language processing rules. Managing relationships with the Testing Center of Excellence (TCoE), Cloud Center of Excellence (CoE), and Caremark Service Excellence (CSX) business groups to recommend the best end-to-end business solutions for the PBM Quality Team and CVS enterprise.
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Knowledge of natural language processing (NLP) and computer vision is a plus. Apply your knowledge of OpenAI's GPT-3.5 architecture and prompt engineering techniques to create natural language understanding and generation solutions.
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Implements algorithms for tasks such as natural language processing to enhance investment risk oversight. Solves analytical problems utilizing large structured, semi-structured and un-structured data in a distributed processing environment.
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Analytics, AI, machine learning, natural language processing (NLP), natural language understanding (NLU), large language models (LLMs) Analytics, AI, machine learning, natural language processing (NLP), natural language understanding (NLU), large language models (LLMs.
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8+ years of experience in algorithms, machine learning, and natural language processing to build complex data driven software applications. Thorough knowledge of at least one of the Deep Learning frameworks like PyTorch or Tensorflow and the ability to leverage open domain pretrained models for NLP applications.
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Utilize Azure AI services for natural language processing (NLP) and computer vision capabilities. Experience with Data integration, data processing, data streaming, message queuing techniques.
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natural language processing jobs in Dallas, TX
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