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You will be aligned to one of Dow’s key functions - Research and Development (R&D), Integrated Supply Chain (ISC), Operations/Manufacturing & Engineering (M&E), Commercial, Information Systems (IS), or Environmental Health and Safety (EH&S.
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About you and this role - What you would do in this roleDow has exciting opportunities for new graduate PhD scientists interested in careers in Research and Development (R&D), as well as in other domains including Manufacturing & Engineering (M&E), Integrated Supply Chain (ISC), and Information Systems (IS) aligned with various business units in Texas, Michigan, Pennsylvania, and other locations in North America.
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As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and analytics solutions , you will work with a cross-functional team whose objective is to deliver solutions that drive business value for Dow. In this role, you will work closely with data engineers, data scientists, domain experts, and software engineers to design, develop, and deploy machine learning systems, including training and inference pipelines on the Azure Databricks platform.
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Performs data analysis, feature engineering, model selection, hyperparameter optimization, and model evaluation using Databricks MLFlow, Delta Lake, and SQL Analytics and other tools as part of the end-to-end ML lifecycle.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Dow has exciting opportunities for new graduate PhD scientists interested in careers in Research and Development (R&D), as well as in other domains including Manufacturing & Engineering (M&E), Integrated Supply Chain (ISC), and Information Systems (IS) aligned with various business units in Texas, Michigan, Pennsylvania, and other locations in North America.
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A PhD in Chemistry, Chemical Engineering, Mechanical Engineering, Materials Science, Polymer Science, Data Science, Statistics or other engineering or science-related discipline is required.
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