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PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience.
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IonQs computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Measure and analyze data on the performance of a trapped ion quantum computer.
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Candidates aiming to integrate modern methods of data science (DS), machine learning (ML) and artificial-intelligence (AI) to accelerate advances in their respective research areas are encouraged to apply.
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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have a strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
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Additionally, we are dedicated to crafting exceptional data infrastructure and innovative solutions in the realms of data science and machine learning. Stay up-to-date with the latest advancements and trends in machine learning and data science and apply them to evolve the measurement system.
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Risk intelligence support to additional areas to include issue management, enterprise risk management, and geopolitical risk management. Relevant degree e.g. International Relations, Intelligence Studies, International Security Studies or equivalent experience in operational intelligence.
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Requires in-depth knowledge and experience with cloud in a given area, particularly Microsoft Azure, Microsoft 365 and Microsoft Copilot/Azure OpenAI/artificial intelligence. Industry certifications and/or experience with cloud platforms and modern data center solutions such as AWS, GCP, Dell, HPE, NetApp, Nutanix, Hitachi, IBM, Etc.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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PhD in Engineering or Science with preference in Physics, Electrical Engineering, or Computer Science. Posted figures are subject to change as new market data becomes available. B.S. in Physics, Mathematics, Engineering, Computer Science, or other technical fields.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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SPS is an award-winning employer of choice offering outsourcing solutions that leverage Intelligent Automation (Artificial Intelligence & Robotic Process Automation) in more than 22 countries across the globe.
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The Global Manufacturing Excellence organization will be the center of excellence in Global Manufacturing under Downstream business line within This Company for Digital transformation, Artificial Intelligence technologies and data science.
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MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence.
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With a focus on long term maintainability and quality this position will be expected to maintain UCSF's customizations, contribute to the open-source Moodle ecosystem, and develop long term technical strategy with the goal of ensuring inclusive, streamlined and transformative teaching and learning experiences for users across all areas of the education mission.
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artificial intelligence learning jobs Title: data science in Seattle, WA
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