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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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Candidates must have strong capabilities in relevant research methods, which could include social network analysis, statistical analysis and open-ended data mining; applied machine learning including Natural Language Processing and image recognition; interactive data visualization; and website development.
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Relevant skills include statistical analysis and open-ended data mining (social network analysis will be particularly helpful); applied machine learning including Natural Language Processing; quantitative content analysis; qualitative discourse analysis; survey research; and archival research.
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Spearhead the creation and training of our proprietary natural language processing (NLP) and computer vision (CV) models, staying ahead of the curve in AI and machine learning advancements.
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Strong understanding of machine learning, natural language processing, and deep learning. Leadership and Collaboration:Collaborate with other executives, including the Chief Technology Officer (CTO), Chief Data Officer (CDO), and Chief Medical Infomatics Officer (CMIO), to integrate AI into the university’s overall technology roadmap.
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Strong knowledge of AI models, including natural language processing (NLP), machine learning (ML), and deep learning (DL), including familiarity with LLM tools such as LangChain. Strong knowledge of AI models, including natural language processing (NLP), machine learning (ML), and deep learning (DL), including familiarity with LLM tools such as LangChain.
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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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Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems. 5+ yrs of commercial experience using React or Vue or any JS framework on the front-end and major frameworks like python/ go/Rails/elixir/java/flask/NodeJS on the backend.
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Apply AI/ML ( deep learning, natural language processing, large language models ) to practical and comprehensive technology solutions. Similar Jobs (7) Trading Bus Development Lead - Order Management and Infrastructure Technology locations Miami, FL - 1111 Brickell time type Full time posted on Posted 26 Days Ago C.
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As the Artificial Intelligence Partnerships Leader you will be responsible for helping to identify, advocate, and execute Deloitte's interests across international and emerging organizations, with a specific focus on novel approaches in Generative AI, natural language processing, computer vision for imaging & autonomous systems, embedded & edge-AI, and other state-of-the-art capabilities.
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Natural Language Processing (NLP): Knowledge of NLP techniques such as text preprocessing, sentiment analysis, name entity recognition, language modeling, and text classification.
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Research and Innovation: Staying up-to-date with the latest advancements in natural language processing (NLP) and machine learning (ML) research, exploring new techniques, and applying innovative approaches to enhance model performance and capabilities to support our clients' staffing services.
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Natural language processing, sentiment analysis, machine learning. International SOS membership to support you whilst travelling. Canonical is a pioneer in the digital workplace, established in 2004 with a global, remote-first policy that has delivered world-class open source and sets the pace in cloud, developer and IoT technology.
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Lead the development of AI products taking them from prototype to production including deployment on cloud platformsConsult with business stakeholders to understand their needs and challenges, assess how AI techniques like machine learning, natural language processing etc.
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Familiarity with computer vision, natural language processing, or reinforcement learning is a plus. Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch.
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natural language processing jobs in Miami, FL
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