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Support the assessment of production suitability of Open Source and proprietary solutions for Generative AI (GenAI) Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL.
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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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Position Overview:We are seeking an experienced Machine Learning Engineer to join our team, specializing in Large Language Models (LLMs) and Generative AI. The ideal candidate will have a strong background in AI/ML technologies, with specific expertise in developing, training, and deploying large-scale language models and generative systems.
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Johnson & Johnson Innovative Medicine is recruiting for a Senior Principal Scientist to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Design. Examples may include; Large Language Models for biology, de novo drug design using Generative AI, geometric deep learning, structure-based prediction of bioactivity, etc.
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4+ years experience in developing applications leveraging AI technologies: Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL) for production application.
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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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Applicants should have training and a significant track record in one or more of the following areas: -AI, deep learning methods-atmospheric, climate, and/or weather modeling-computer science, statistics, and/or machine learning with applications relevant to genomics-population genetics / genomics.
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Embed machine learning, artificial intelligence and GenAI capabilities into the cloud applications and solutions to enable predictive analytics, data mining, and pattern recognition for driving productivity and efficiency in solutions delivered.
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Coordinate the tool making activities in the machine shop and work closely with other engineers and VP of Engineering to establish priorities for the shop to ensure that the tooling delivered to the line is complete.
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Apply advanced statistical analysis, machine learning algorithms, and predictive modeling techniques to extract insights and develop models that generate actionable recommendations. Operationalize machine learning and artificial intelligence analytics models on ML Ops platform.
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Grow with Us: Dive into continuous learning and development opportunities. Company Culture: At Globe Life American Income Division Hart Organization, we're relaxed, high-energy, and treat every member like family.
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Valid PA teaching license or certification · Prior teaching experience at the middle school level, with a focus on STEM education and project-based learning. · Commitment to fostering a positive and inclusive learning environment that values diversity, equity, and inclusion.
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As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Work with the Art Curator on the acquisition of new art and management of existing collection.
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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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machine learning jobs Title: reverse engineer Company: Meta in Lawrence, NJ
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