A team wants to fine-tune a model every time their labelled data grows. Build them the pipeline.

The training part is a job. Everything around it is the pipeline: data snapshots that are immutable, an evaluation gate with a threshold set in advance, and adapters versioned so a bad one is a routing change away from gone.

Grounded in researched DevOps, SRE and platform engineering interview loops, written to a senior-engineer editorial bar, and never padded to hit a word count.