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Position: Machine Learning Engineer
Institution: Adobe Inc.
Location: Bangalore, Karnataka, India
Duties: Scale and build infrastructure for predictive models on large-scale datasets to address various business problems; Transform requirements into architectural and feature specs; Mentor and provide technical guidance to junior engineers, review code, and ensure alignment with best practices in software development and AI/ML engineering; Collaborate with product management and engineering groups to develop new products and features; Work closely with teams across Adobe, in different geographies. The technology you produce will have visibility at the highest levels of the company
Requirements: 7+ years of industry work experience. Good sense of product with a focus on shipping user-facing data-driven features; Proficient in one or more programming languages, such as Python, Java, or Scala; Familiar with one or more machine learning, deep learning, or statistical modelling tools such as R, scikit-learn, and JupyterLab; Familiar with public cloud computing platforms and frameworks such as DataBricks, SageMaker, and Tensorflow
   
Text: Machine Learning Engineer Scale and build infrastructure for predictive models on large-scale datasets to address various business problems; Transform requirements into architectural and feature specs; Mentor and provide technical guidance to junior engineers, review code, and ensure alignment with best practices in software development and AI/ML engineering; Collaborate with product management and engineering groups to develop new products and features; Work closely with teams across Adobe, in different geographies. The technology you produce will have visibility at the highest levels of the company 7+ years of industry work experience. Good sense of product with a focus on shipping user-facing data-driven features; Proficient in one or more programming languages, such as Python, Java, or Scala; Familiar with one or more machine learning, deep learning, or statistical modelling tools such as R, scikit-learn, and JupyterLab; Familiar with public cloud computing platforms and frameworks such as DataBricks, SageMaker, and Tensorflow
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