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
Contributeurs: Isaline Hodecent, wiki