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The Difference Between ML Engineers and Data Scientists

  • The role of a machine learning engineer (MLE) is different from that of a data scientist.
  • While a data scientist may focus on analytical work and setting metrics, an MLE specializes in building and deploying machine learning models.
  • It is important for prospective applicants to carefully read job descriptions to understand the specific responsibilities of each role.
  • A data scientist typically engages in a combination of analytical and modeling work.

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