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What is the difference between a Data Scientist and Machine Learning Engineer?

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 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 scientist, on the other hand, deals in analysing of data, identifying trends and patterns and churning out valuable insights in business.