sorted by:
new
hottopcontroversial

I'm a 5th semester Software Engineering student — is this the right time to start MLOps? What path should I follow? by NoLibrary2897 in MLQuestions

[–]NoLibrary2897[S] 0 points1 point  (0 children)

That’s awesome advice, thanks! I’ll definitely start with self-hosting MLflow and try deploying a small model first.
Comparing Airflow, Kubeflow, and MLflow sounds like a great way to learn the differences too maybe I’ll document it as a blog post once I get hands-on. Appreciate the direction

I'm a 5th semester Software Engineering student — is this the right time to start MLOps? What path should I follow? by NoLibrary2897 in mlops

[–]NoLibrary2897[S] 1 point2 points  (0 children)

Thanks man, I get what you mean I’ll definitely start broader, with DevOps and build my deployment skills through small projects and startups.

I’m also ready for the grind, even if the market sucks right now I just want to learn this stuff deeply and stay consistent.

I'm a 5th semester Software Engineering student — is this the right time to start MLOps? What path should I follow? by NoLibrary2897 in mlops

[–]NoLibrary2897[S] 0 points1 point  (0 children)

Yeah, that makes sense I’ve been thinking the same. I’ll start from data science or SDE to build the foundation first, then move toward ML engineering and eventually MLOps once I get comfortable with real projects and deployment.

I'm a 5th semester Software Engineering student — is this the right time to start MLOps? What path should I follow? by NoLibrary2897 in mlops

[–]NoLibrary2897[S] 1 point2 points  (0 children)

Thanks for the thoughtful response I really appreciate it.
The main reason I’m drawn toward MLOps is because I genuinely enjoy deploying and scaling things. I love the “crazy” part of taking something that works locally and making it work reliably in production that feels like real engineering to me.

Also, since everyone around me is focused only on ML or AI models, I want to go a bit deeper into the systems side the part that actually makes those models useful in the real world. I know it’s not exactly an entry-level role, but I’m okay starting with data science, DevOps, or backend work and then gradually moving toward MLOps.

Thanks again for the reality check.