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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
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Work at the intersection of experimental and groundbreaking digital technologies, with a particular emphasis on expertise in machine learning and artificial intelligence (AI) as applied to small molecule drug discovery.
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In this role, you will collaborate with researchers to develop machine learning methods for computational biology and drive the implementation and testing of novel research ideas using cutting-edge deep learning techniques.
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Stay abreast of the latest advancements in AI, machine learning, and computational biology, and apply these insights to drive the company’s research agenda. As the Principal Machine Learning Scientist, you will be the driving force behind the AI initiatives that propel the company’s innovative drug discovery platform.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations.
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The Algorithms, Machine Learning, & Data Science Group within AES Advanced Tech Team creates advanced algorithms in the fields of machine learning, artificial intelligence, signal processing, intelligent control, and other areas of electrical engineering and computer science that are of strategic interest to the AES Business Unit’s goals and roadmaps.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities.
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Experience with DevOps practices and tools for machine learning model deployment. As an ML Engineer, you will lead the development and deployment of innovative approaches to optimize existing and new machine learning systems, unlocking their full potential to drive maximum business value.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Information Technology, Financial Services, Professional Services, Technology, Consulting, Artificial Intelligence, Data Science, Machine Learning, Data Analytics, Education.
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The multi-disciplinary team consists of talented technical staff with expertise in electromagnetics, optics, signal processing (communication, GPS), RF design, statistics, optimization, computer vision, machine learning, autonomous control, software engineering, and embedded systems.
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In this capacity, this leader oversees a team of computational scientists and develops and guides the implementation of cutting-edge computational approaches, including Artificial Intelligence (AI) and Machine Learning (ML), to target identification, pathway analysis, biomarker discovery, and the design and optimization of both small and large molecules.
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Coordinate key research and development teams within BCS to ensure steady process of transfer of advanced technology research (artificial intelligence, machine learning, and other) into core product development roadmaps to support transformation to higher value "decision support" solutions.
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Iris is Pluralsight’s learning intelligence platform, an innovative and unique user experience, whose aim is to use data to create a smarter, personalized learning journey. We are growing a team of people from multiple disciplines who love solving complex problems with data and are excited by the prospect of creating the brains behind Iris. As a Machine Learning Engineer, you will be responsible for building the infrastructure and implementing the algorithms that make Iris smart.
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deployment machine learning artificial intelligence jobs Company: Jpmorgan Chase Co in Woburn, MA
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