It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 2 years ago

Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago

LinkedIn has developed special paid services with advanced features for companies that recruit a lot and often. These services provide more advanced filtering, have no limits for connections, and other options that facilitate hiring big numbers of employees. Learn more about these services on the LinkedIn Recruiter page. - Source: dev.to / over 2 years ago

LinkedIn Recruiter is backed by a mature algorithm that recognizes these things. The application quite literally recommends the optimal candidates to poach. [0]: https://business.linkedin.com/talent-solutions/recruiter. - Source: Hacker News / over 2 years ago