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: https://www.youtube.com/watch?v=GDCnydDWRnM https://www.youtube.com/watch?v=1xKzPBwBdn8