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Who You Are: You are a dynamic Computational Scientist who will work with other scientists to apply cutting-edge computation, Machine Learning/Deep Learning approaches to revolutionize our large molecule computational tools by contributing to accelerating and improving the process of design and engineering of novel biologics drug candidates.
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We provide self service tools to enable data discovery, data processing, data mining and research, reporting, and machine learning/AI, all built using OCI services and industry standard open source distributed computing tools.
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Roles and Responsibilities: Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology.
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A minimum of 6 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data scientist, Machine Learning Engineer, or AI Engineer. Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions.
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We're looking to hire a Solutions Architect Artificial Intelligence/Machine Learning to join our team. Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field.
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Experience with intra-operative neuromonitoring and machine learning libraries and tools. Familiarity with medical imaging modalities used in surgical applications (X-Ray, CT scan, MRI) Advanced degree (MS or PhD) or equivalent experience in a quantitative field with strong focus on signal processing, intra-operative neuromonitoring, computer vision, statistical estimation, or similar.
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With their expertise in machine learning, statistical modeling, and data mining, our Data Scientists have the unique ability to harness CookUnity's unique datasets and turn them into innovative strategies.
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This role sets the vision and strategy for PVH’s approach to transformative e2e planning opportunities, including leading edge advanced cognitive planning & machine learning capabilities.
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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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Experience in supporting Deep Learning, Machine Learning or HPC networking infrastructures; experience with networking technologies as well as understanding deep learning frameworks such as TensorFlow or PyTorch.
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Develop strategies, standards and best practices in the areas of machine learning, data visualization and data integration and lead adoption throughout Ignite. This person will develop a deep understanding of the analytical need and leverage knowledge of Equifax data assets, big data technologies, data engineering, keying and linking concepts, build attributes and statistical models using traditional and modern machine learning techniques.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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Lead Machine Learning Engineer. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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Our scientists have significant expertise across a diverse set of disciplines in computational biology, bioinformatics, and machine learning, including multi-omic data analysis, functional genomics, systems biology and biomarker analysis.
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). 7 years of experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition.
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machine learning jobs Title: principal Company: Boeing
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