Machine Learning Engineer vs Data Scientist vs Data Engineer

There’s one specific role that builds a bridge between data science and its practical counterpart, machine learning. Meet the machine learning engineer. In this video we explain: 1) ML engineer’s responsibilities, including: • Data preparation • Selecting an algorithm • Model training • Model deployment and integration with data sources • Model performance monitoring and evaluation • Retraining 2) Background and skillset of the ML engineer 3) When you should hire an ML engineer PUBLICATION PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). Link: