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The OpportunityAt Genentech Computational Sciences (gCS) Prescient Design, we are revolutionizing drug discovery with cutting-edge machine learning techniques. In this role, you will:Participate in cutting-edge research in machine learning and methods development for scientific discovery, including large language models and drug discovery.
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The Chief Technology Office (CTO) is responsible for building enterprise scale, cutting edge technology tools, platforms that are used firm-wide by the JPMC workforce for a variety of technology functions such as Software Engineering platforms, Artificial Intelligence/Machine Learning (AI/ML) development, Data Management and Digital Ledger Technologies.
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You will lead the development of the state-of-the art machine learning models including leveraging cutting-edge NLP Techniques such as Large Language Models (LLMs). Stay at the forefront of advancements in machine learning, bring cutting-edge research and industry knowledge into the team around NLP, information retrieval, machine learning, generative AI and related areas.
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We use Deep Learning (the most sophisticated machine learning) to build custom algorithms for digital marketers to help grow their customer base. Cognitiv has been revolutionizing the programmatic/ad tech space for the last 8 years as the only programmatic buying platform to leverage Deep Learning in real-time.
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Research and implement cutting-edge machine learning and artificial intelligence tools. Familiarity with machine learning environments (e.g., TensorFlow, scikit-learn, caret.
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Using cutting-edge Artificial Intelligence and Machine Learning techniques, they provide their clients with the most accurate assessments of critical infrastructure in the industry.
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Assess and drive efficiencies in existing risk framework for Machine Learning Development Lifecycle & MLOps to create a risk aware continuous compliance mind-set. Partner with cross LOB stakeholders to establish and deliver firm wide control standards and procedures including adherence to controls in technology and cyber risk domains ( ex - application security, vulnerability management, data management.
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Strong knowledge of Conversational AI technologies, including Natural Language Processing (NLP) and Machine Learning (ML). As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving the development and success of our cutting-edge chatbot technology.
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We employ scalable cutting-edge machine learning (Client), deep learning (DL), and Natural Language Processing (NLP) knowledge to better target customers and prospects, understand and personalize the content, and context needed to optimize their book-listening experience.
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Technical, AI and Generative AI Expertise: Possess a deep understanding of artificial intelligence (AI) and generative AI technologies, including but not limited to machine learning, deep learning, natural language processing (NLP), computer vision, to identify and evaluate the potential applications of these technologies in the retail and CPG industries, and develop strategies to integrate them into our product offerings to drive innovation and create competitive advantages.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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As a key member of the Global Equity Team, you will not only implement data infrastructure and conduct analysis but also have the unique opportunity to curate data assets, develop models using cutting-edge techniques like NLP and machine learning, and manage a team of external data scientists.
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Position SummaryAs a Lead Data Scientist on the Network Configuration team, you will play a crucial role in developing cutting-edge machine learning solutions. Knowledge of Bayesian machine learning and probabilistic programming frameworks.
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We utilize cutting-edge machine learning and contract software, enhancing traditional legal services and bringing together experts in engineering, AI, and law. Focus on continual learning and development.
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Proficiency in data analytics and machine learning techniques, with hands-on experience in developing and implementing predictive maintenance and optimization solutions including relevant certifications in AI or related fields (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI/ML certifications) are desirable.
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cutting machine learning jobs in New York, NY
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