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A machine learning engineer is required to be more skillful in software engineering, data management, and information architecture as compared to a data scientist. While there is a substantial relation between the two roles; the key difference lies in the focus area of these two positions. A machine learning engineer focuses on data management, coding, setting up the architecture & application design. Data scientists, on the other hand, deals in analyzing data, identifying trends and patterns and churning out valuable insights in business.  

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