Like any relatively new area of specialism within technology, MLOps Engineering has been, and will continually be, an evolving and adapting position, particularly with the speed ML and AI is currently moving. It’s an exciting place to be, but one with a lot of gray area in what teams want from an MLOps Engineer, making it a tricky place to both find a role, and grow a team in. Like its sibling DevOps, it’s important to remember that there is no one definition of an MLOps Engineer, one teams idea of the role, and skills needed to perform the role, can be very different to another, but they may share commonalities in tasks performed and technologies needed to perform them.
How can one person know all these skills, and expect them to good at all these at the same time ??