"ML engineers focus more on bringing individual projects to production, while MLOps engineers work more on building a platform that is used by machine learning engineers and data scientists"
This should be in a large org, because I commonly find those roles are essentially the same
This is very well-thoroughly written. I wish we had university courses based on this. Most universities do not update their course syllabus.
This is great I would love to see a visual of this in a supply chain type of motion showing left to right flow.
This is great content, a lot of what you’ve mentioned is what I’m currently covering on my L7 AI apprenticeship
Great resource
Thank you for such a valuable article.
for MLOps principles, I think we can add this one https://ml-ops.org/content/mlops-principles
Thanks for the list, super great
"ML engineers focus more on bringing individual projects to production, while MLOps engineers work more on building a platform that is used by machine learning engineers and data scientists"
This should be in a large org, because I commonly find those roles are essentially the same
Wow it’s a detailed roadmap
I will take it as my new year resolution to complete the learning and build a project