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Familiarity with working in cloud-based environments like Amazon Web Services (AWS), Google Cloud, or Microsoft Azure and their machine learning tools. We define, architect, design and prototype creative ways to integrate and fuse all-source intelligence and new sources of data to empower analysts and inform the programmatic and technical direction of new and existing programs.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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B.S. in Computer Science (or equivalent) Bonus: Cloud DevOps experience Bonus: Machine learning development and deployment experience Bonus: Embedded systems development and/or experience with Nvidia Jetson products Benefits Paid Time Off | Health Insurance | Dental | Vision | Equity Powered by JazzHR.
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The FBA team is looking for a passionate, curious, and creative Principal Research Scientist with expertise in operations research, machine learning or statistics, along with a proven record of solving business problems through scalable modeling and analytical skills.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Extensive experience with statistical analysis and programming languages e.g. Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch. Work with machine learning engineers to deploy, operate, and optimize scalable solutions.
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The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on projects in a wide range of research domains.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and PlaywrightOur automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace , PyTorch, TensorFlow, and Pandas.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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We are surpassing the boundaries of classical physics and modern supercomputing, ushering in a new era of computing that promises to revolutionize industries including medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and beyond.
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Our Learning and Development offerings include Aurora Academy, where our people learn, develop, and practice the essential skills that drive Aurora s mission, continually up-leveling our team along the way.
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We are recruiting a Machine Learning Engineer for a major energy trader (energy / renewables). - Understanding of machine learning fundamentals, including deep learning, generative models, NLP techniques, such as sentiment analysis, and entity recognition and disambiguation.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Experience with data storage and analytics systems (e.g. AWS RDS/DynamoDB, Elasticsearch, Databricks.
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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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machine learning source next generation jobs Company: Careerbuilder
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