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ML Engineer vs AI Engineer.

Act Five5 steps~ 4 min

Analogy: an ML engineer is the person in the factory who builds the car — engine, chassis, wiring, paint. An AI engineer takes that finished car and runs a delivery business with it — picking up pizzas, planning routes, getting them to customers.

Two completely different jobs. Both essential.

Interactive walkthrough
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◆ ML ENGINEERbuilds the model (the "car")◆ AI ENGINEERuses the model to deliver valueTHE FACTORYraw data ↓train10⁶ examplesevaluateacc, F1, AUC📦 trained modelmodel.pt · ready to shipcares about:PyTorch · GPUs · loss curves · data pipelinesHAND-OFFTHE ROAD🚗the model, in production🍕customer A🏠customer B🏢customer Ccares about:prompts · APIs · RAG · agents · latency · cost · UX
Click NEXT. Watch how an ML engineer's output becomes an AI engineer's input.

Tip · use ← → keys to step, R to reset

You don't have to pick one forever — but at any given moment, knowing which side you're working from clears up a lot of confusion.