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Experience in machine learning or artificial intelligence work is critical, with cheminformatics, computational chemistry, and/or molecular modeling experience a plus. The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientist with an interest in the use of artificial intelligence and machine learning for molecular design.
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We are seeking an experienced Product Owner who is passionate about data, with a strong background in data analytics and Artificial Intelligence/Machine Learning (AI/ML) principles.
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Ph. D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math Strong background in Deep Learning and/or Medical Image processing 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred.
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Data Science Solutions: development and application of advanced analytical methods inclusive of Artificial Inteligence (e.g. Machine Learning, Deep Learning, NLP, Voice Recognition, RPA, etc.
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Reporting directly to the Japanese Cataloging Librarian within PUL’s Cataloging and Metadata Services department, this position supports the East Asian Library collection and the Marquand Library Japanese art collections by creating Japanese monographic firm orders and standing orders, using a combination of various vendor-supplied machine-readable records and existing OCLC bibliographic records to generate new orders.
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Understand the impact of key technology trends and workforce changes impacting our clients through engagement with innovative and emergent technologies, including cloud computing, big data and analytics, process automation, artificial intelligence / machine learning, and other digital strategies.
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We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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The team's work is essential in supporting feature developments that use artificial intelligence and machine learning including Bloomberg Law's Docket Key, Points of Law, Brief Analyzer and Draft Analyzer, Bloomberg Tax's search capabilities and Bloomberg Government's State Bill Comparison.
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The Data Architect is responsible for how data is collected, stored, processed, integrated, cataloged, modeled, and used to empower product, services, and functions for self-serve business intelligence, advanced analytics, machine learning, and Artificial Intelligence.
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Lead day-to-day relationships and projects with leadership across PECS (Patient experience & customer solutions), SIA (Strategic Insights & Analytics), brand sales and marketing, Media Excellence, Advanced Analytics, Data Science & Engineering, and IT, among others, to shape and evolve the patient solution roadmap.
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1 to 5+ years of hands-on working experience in analytics, data science, machine learning and reporting. Develop Gen AI / Machine learning solutions to reduce manual work and to improve faster data analysis and insights generations.
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Our openings include receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, warehouse, assembly, production, pickers, packers, forklift, machine operators, and maintenance mechanics.
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Works with IT and Data Science teams for technical support in AI model development, data management, and integration of AI into existing systems and platforms Value Statements and Adoption Process: Create product narratives that clearly articulate the vision and benefits of AI initiatives to stakeholders.
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Work experience in at least one of the following areas is preferred: making juvenile justice policy recommendations to stakeholder groups; preparing data and materials for diverse stakeholders, with a focus on offering system improvement recommendations regarding existing and proposed policy; using various types of information technology and technical systems to carry-out job responsibilities, including SPSS, Microsoft Access, and Microsoft Excel.
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artificial machine jobs Title: data science in Princeton, NJ
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