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← ML Engineering on AWS

An automated pipeline — S3 upload triggers a Lambda, which kicks off a Step Functions execution that preprocesses, retrains, evaluates, and conditionally redeploys. This is where every earlier piece (features, training, evaluation, serving) stops being something you run by hand and becomes infrastructure that responds to new data on its own.

An automated S3-to-deploy pipeline with Lambda and Step Functions is systems-engineering-grade MLOps — the difference between 'I can retrain a model' and 'I built a system that retrains itself.'