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
https://www.altexsoft.com/blog/machin...
2) Machine Learning Project Structure: Stages, Roles, and Tools
https://www.altexsoft.com/blog/datasc...
3) Whitepaper: Machine Learning: Bridging Between Business and Data Science
https://www.altexsoft.com/whitepapers...

Learn more about AltexSoft: https://www.altexsoft.com
Follow us on LinkedIn:   / altexsoft  
Follow us on Facebook:   / altexsoft  
Follow us on Twitter:   / altexsoft  
Follow us on Instagram:   / altexsoftcom  

Music by Epidemicsound.com

#machinelearning #machinelearningengineer #mlengineer #ml