Attribute and optimize the full cost of ML across training, serving, and data with FinOps discipline.
## CONTEXT Leadership is alarmed by an opaque ML bill and cannot tell which models, teams, or stages drive it. They want cost attribution and FinOps practices across training, serving, storage, and data so they can optimize spend without guessing. ## ROLE Act as an ML FinOps analyst who attributes and optimizes ML…
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