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We are seeking an exceptional Senior Applied Data Scientist with an MSc or PhD in Data Science, Machine Learning, or a related field and a minimum of 5 years of industry experience.
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Invent, implement and deploy state-of-the-art machine learning models, algorithms and systems as part of the OCI Speech team. A PhD in computer science on natural language processing or speech processing is preferred but not a must.
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Is very experienced with Machine Learning and Deep Learning models and frameworks. Defines the bar for science practices, and helps teams achieve those goals. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations.
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PhD in Artificial Intelligence, Computer Science, Machine Learning, Data Science, or a closely related field. Experience with fundamentals that include programming languages (e.g., python, R), deep learning, data analysis, natural language processing, computer vision, cloud computing, big data technologies, DevOps and AIOps, and communicative problem-solving.
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Candidates must have working experience in Artificial Intelligence, including AI theory, machine learning, computer vision, natural language processing, and search; Data Science; and Cybersecurity and privacy.
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If you love developing fundamental machine learning models and algorithms inspired by complex phenomena such as natural language, please consider joining Johns Hopkins University as an Assistant Research Professor of Computer Science.
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Be the energy trading domain expert in our interdisciplinary team, collaborating with experts in power systems, AI, optimization, mathematics, data science, SW and human-computer interaction.
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Deep knowledge and expertise in data engineering, data analytics, data visualization, artificial intelligence, and machine learning, Bachelor's degree or higher in Computer Science, Data Science, Engineering, Statistics, or a related field.
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Unused balance will carry over each year up to a maximum cap of 112 hours. Has background on speech processing (speech recognition, speaker verification/identification, keyword spotting, diarization) and/or neural language modeling and/or big data management and curation.
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Research and development experience (can be from post graduate work or education) in at least one of the following areas: 3D modeling, passive electro-optical sensing phenomenology (Panchromatic/Multispectral/Hyperspectral/Motion Imagery), active sensing (LiDAR and Synthetic Aperture Radar), sensor calibration, atmospheric modeling, radiometry, computer vision, and artificial intelligence (machine learning / deep learning.
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Play a key leadership role in the Machine Learning Review Board to provide direct oversight and review of proposed AI from teams across Optum, UHG and UHC (UnitedHealthcare) 8+ years of expertise in various AI/ML techniques, such as deep learning, natural language processing, computer vision, recommender systems, reinforcement learning, large language models, etc.
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BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience.
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Sponsorship not Offered for this Role Responsibilities As a Senior Data Scientist, you will focus on leveraging the company's substantial data assets to deliver actionable and meaningful business insights using analytics, predictive models, machine learning, and artificial intelligence.
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Bachelor's degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
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We're inventing the future of smart observability systems that leverage cloud-first engineering, machine learning and open source. Education & ExperienceB.S., M.S., or Ph. D. in Computer Science, Computer Engineering, or equivalent practical experience.
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