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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) 02:14 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) 06:25 background and skillset of the ML engineer
3) 08:16 and when you should hire an ML engineer
Read more in our blog:
1) What is Machine Learning Engineer: Responsibilities, Skills, and Value Brought
www.altexsoft.com/blog/machin...
2) Machine Learning Project Structure: Stages, Roles, and Tools
www.altexsoft.com/blog/datasc...
3) Whitepaper: Machine Learning: Bridging Between Business and Data Science
www.altexsoft.com/whitepapers...
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