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What are the components of an ML platform, and why build one?

An ML platform is the internal system that lets many teams build and ship models reliably. The signal is naming the components (data, features, training, registry, serving, monitoring) and arguing why standardizing beats per-team reinvention, plus when not to build.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

An ML platform is the internal system that lets many teams build and ship models reliably. The signal is naming the components (data, features, training, registry, serving, monitoring) and arguing why standardizing beats per-team reinvention, plus when not to build.

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