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A successful data engineer will exhibit an entrepreneurial spirit and enjoy tackling complex data engineering problems, as well as shaping the future infrastructure of JumpCloud’s data engineering, performance reporting and data governance.
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Experience in analysis, data analysis, data visualization, mathematics, statistical data mining, or data science. Experience in business analysis, data analysis, mathematics, data warehousing, statistical data mining, and/or data science.
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Develops and prepares reports to support IEHP’s clinical and provider units utilizing available analytics and data mining tools, including but not limited to: Microsoft Applications (including MS Access), SAS, SQL, Crystal Reports, system-specific reporting tools (e.g., MedHOK, CRM,) or other related reporting software.
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The Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads. This Includes Working On a Variety Of Really Exciting Problems Such As The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment.
$183,600 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with modern deep learning architectures including CNN, RNN, Transformer, GCNN and MPNN, and machine learning paradigms such as generative models, GAN, and active learning.
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You will produce, maintain and publish permit Electrical Engineering drawing sets for our fleet of Data Centers. Within the AWS Data Center Community, the Data Center Design Engineering team is a dynamic and collaborative group of engineers and designers dedicated to revolutionizing data center infrastructure.
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The RoleThe Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
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Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
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The Workplace Investing Data Engineering and Exchange AI Delivery Chapter team is looking for a Senior Machine Learning Engineer to join our team to help deliver customer facing AI models into production.
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Preparation of survey crew field data and assignments, including data collector transfers, creating designs and work orders, models for GPS machine controls, coordinate lists and worksheet plotting.
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Genesis AI team is focused on developing foundation models for drug discovery by conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, as well as engineering robust software systems that enable running large scale simulations and training generative and predictive AI models designed to learn from all kinds of molecular data, leveraging our cluster with 1000s of GPUs and 10,000s of CPUs.
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The Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. -Proficient in Python, machine learning libraries & frameworks (TensorFlow, PyTorch, scikit-learn.
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machine learning data mining engineering jobs Title: engineer data Company: Amazon Web Services Aws
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