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Defining machine learning engineering

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A machine learning engineer is essentially a software engineer who is skilled enough in data science to deploy advanced data science models within the applications they build, thus bringing machine learning models into production in a live environment like a Software as a Service (SaaS) product or even just a web page. Contrary to what you may have guessed, the role of machine learning engineer is a hybrid between a data scientist and a software engineer, not a data engineer. A machine learning engineer is, at their core, a well-rounded software engineer who also has a solid foundation in machine learning and artificial intelligence. This person doesn’t need to know as much data science as a data scientist but should know much more about computer science and software development than a typical data scientist.

Software as a Service (SaaS) is a term that describes cloud-hosted software services that are made available to users via the Internet. Examples of popular SaaS companies include Salesforce, Slack, HubSpot, and so many more.

Data Science For Dummies

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