Ingénieur en apprentissage automatique


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Machine learning engineer

A data scientist does the statistical analysis required to determine which machine learning approach to use, then they model the algorithm and prototype it for testing. At that point, a machine learning engineer takes the prototyped model and makes it work in a production environment at scale.

A machine learning engineer isn’t necessarily expected to understand the predictive models and their underlying mathematics the way a data scientist is. A machine learning engineer is, however, expected to master the software tools that make these models usable.

Related: How to Become a Machine Learning Engineer

Source : springboard.com

Contributeurs: Isaline Hodecent, wiki