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About You:We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
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The Asset Management Specialist Level 1 will work with the IT Asset Manager and the IBD-SS systems engineering team to ensure the base defense information system assets are accounted for, deployed, maintained, upgraded, and disposed of, to include network and cybersecurity management.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
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Adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.
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Working in close coordination with technical teams and cross-functional stakeholders (e.g., Finance & Accounting, Procurement, Information Security), the IT Asset Manager establishes, enforces, monitors, and continuously improves asset management processes, standards, and controls.
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The Information Technology (IT) Asset Management Specialist will work with the IT Asset Manager and the IBD-SS systems engineering team to ensure the base defense information system assets are accounted for, deployed, maintained, upgraded, and disposed of, to include network and cybersecurity management.
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Compile, manage, maintain, improve and automatize large databases via a thorough knowledge of database management and languages such as SQL. Use advanced Econometrics, Statistics, and Machine Learning to perform quantitative analysis for portfolio construction and alpha generation via through knowledge of R/Python.
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Lead the design, development, testing, deployment, and support of machine learning (ML) models in a cloud environment. 5+ years experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, recommendation algorithm, Computational Advertising, Anomaly detection.
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Manages the Unified Government's parks and recreation asset and work management software and the collection, analyzing and reporting of related data. Responsible for the development and maintenance of infrastructure data and user profiles in the Department's asset management system.
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The Machine Learning Engineer in the Search Data Science team will play a pivotal role in supporting the architecture and development of AI initiatives within the Sam's Club division of Walmart Inc. This position is key to crafting the ML/AI models that will enhance member experiences across eCommerce, Scan & Go, and in-club shopping.
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Serve as lead project manager for digital asset management system use, working closely with IT and cross-functional team members. The Digital Asset Manager (DAM) Librarian at PragerU is a specialized role for an individual with expertise in organizing, cataloging, and managing digital assets within a Digital Asset Management system.
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Fidelity Digital Asset Management (FDAM) is seeking an experienced individual to lead Investment Operations. Establish, maintain, and oversee Fidelity s Digital Asset Management investment operations team.
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The Generative Unconstrained Intelligent Drug Engineering (GUIDE) project has an opening for a Senior bioengineer who is responsible for the efficient, smooth, and effective management of a team and simulation- and machine-learning-driven computational pipeline to redesign antibodies.
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As the Principal applied Machine Learning Scientist you will help transform business processes through data-driven technology products. As the Principal applied Machine Learning Scientist you will help transform business processes through data-driven technology products.
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Apply computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery. Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites.
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machine learning asset management jobs Title: data engineer lead
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