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This position is ideal for someone with deep expertise in machine learning, deep learning (particularly for building biologically meaningful representations of chemical structures), and computational chemistry, sciences and who is committed to building a high-preforming team.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions. A cornerstone of this roadmap is the acceleration of its data organization and adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.
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The Senior Machine Design Engineer will be a member of the Advanced Manufacturing Team focused on developing the next generation high volume manufacturing processes that will connect 24M’s revolutionary product to the high growth energy storage market.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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7+ years experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Consult with business stakeholders to understand their needs and challenges, assess how AI techniques like machine learning, natural language processing etc.
$140,000 - $307,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The purpose of the is study is the Integration of machine learning and genomics to predict outcomes for newly diagnosed, relapsed and refractory mature T-cell and NK-cell neoplasms: a global study of the PETAL Consortium.
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We are looking for a passionate senior machine learning engineer to join the team to partner with us to extend our existing set of traditional ML technologies and infrastructure and to help us blaze a path in the generative AI space.
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Strong technical expertise required in one or more of the following areas: Firewalls, Network Intrusion Detection and Prevention Systems, Routers and Switches, MDM, EDR, SIEM, AI, Machine Learning, Packet decoding and analysis, Web Proxy Servers, Load Balancing, SSL VPN Solutions, Web application firewalls and data loss prevention technologies.
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As a Machine Learning Engineer II with CodaMetrix you will help with translating proof-of-concept ideas to product grade solutions. The Machine Learning Engineer II reports to the Director of Architecture.
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
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Manage site regulatory documents and Trial Master File (TMF) oTrack progress and shipment of all archived material to BostonGene for NGS by serving as the liaison between BostonGene team, and pathology investigator and CRC of each participating institution.
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Familiarity with Docker, Git, ML development toolkits (e.g. PyTorch) Familiarity with training and adapting Machine Learning models, and familiarity with the Huggingface ecosystem and Transformer family of models.
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We have a fast-growing team that's distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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Contribute to an innovative culture that strives for out-of-the-box thinking and creative approaches on analytical solutions beyond traditional models in the area of data science artificial intelligence, machine learning methods, algorithms/model development, validation and tools to drive impactful business decisions.
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machine learning jobs Title: devops engineer Company: Amazon Corporate Llc in Boston, MA
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