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With one of the largest multimedia air and land permitting and compliance teams in the country, we support client success in manufacturing and industry, liquids delivery and processing, natural gas storage and delivery, power generation and delivery, and transportation projects.
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Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, natural language processing, decision trees, neural networks, etc.
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You also have opportunities to research and develop applications in applied artificial intelligence using computer vision, natural language processing (NLP) and large language models (LLM.
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As the AI - Innovation, Delivery and Business Development Leader you will be responsible for helping to identify, advocate, and execute Deloitte's interests across consumer-focused organizations, with a specific focus on novel approaches in Generative AI, natural language processing, computer vision for imaging & autonomous systems, smart factory, and other state-of-the-art capabilities.
$203,000 - $339,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The ABC family of partnerships comprises one of North America's largest midstream energy networks, providing a variety of services, including transportation, gathering, storage, processing fractionation and terminaling, to producers and consumers of natural gas, natural gas liquids, crude oil, refined products, liquefied petroleum gases and petrochemicals.
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Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation.
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Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
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Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries.
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As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. 10 years AI data science experience developing and deploying AI driven solutions and models.
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Advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence. Director of Applied AI and Data Science COE+RD. Director Applied AI Data Science.
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Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning and Retrieval, or Visual Question and Answering. Pursuing a graduate degree in data engineering, data science or a related field.
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Innovation Architect: Design and develop highly scalable algorithms across the full stack, incorporating machine learning, computer vision, natural language processing, and more. Open Source, Computer Science, Developer, Java, Software Engineer, Technology, Engineering.
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Build and test statistical, optimization, and machine learning models, including regression, classification, clustering, natural language processing, deep learning, and/or statistical modeling using surgical data.
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Proficiency in machine learning, deep learning, and natural language processing (NLP) techniques. Bachelor's or Master's degree in computer science, electrical engineering, or a related field.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Data science and AI: graph analysis, machine learning and natural language processing. Data science and AI: graph analysis, machine learning and natural language processing. Creative and critical thinking, and outstanding analytical and problem-solving abilities: Familiarity with business information generation and analysis methods (for example, framing new concepts that spur use case ideation for business participants and brainstorming with business users about future product and services.
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