I’m happy with the change. MLOps is an exciting field right now. There’s a lot of companies that need people who knows ML and software engineering.

You can pivot to an adjacent role within ML like MLOps or Data Engineering. That’s what I did. I didn’t like waiting an entire day for a model to run and then having to fix it late at night so I can do another iteration throughout the night. So now I build machine learning platforms which is more traditional software engineering and comes with predictable outcomes. Your knowledge about ML is still valuable.