Ask HN: What's the best hands-on path to learn ML inference infrastructure?

A backend engineer with 8+ years of experience in APIs, distributed systems, and cloud infrastructure is seeking advice on transitioning to ML inference infrastructure roles, asking HN for the best hands-on projects or experience that would convince hiring managers they are ready for model serving and batching work.

I'm a backend engineer with 8+ years of experience. Most of my work has been APIs, distributed systems, streaming/real-time systems and cloud-infra. I'm trying to move towards ML inference infrastructure: model serving, batching, etc. but based on my experience, it has been difficult to get a callback for such jobs. For people working in this area: what projects or experience would actually convince you that a backend engineer is ready to work on inference infra? Comments URL: https://news.ycombinator.com/item?id=49062088 https://news.ycombinator.com/item?id=49062088 Points: 2 Comments: 1