Machine Learning as a Pipeline

You've likely seen this before. ML engineer(s) organized these steps into a two stage end-to-end (e2e) pipeline. The first e2e pipeline consists of the first three steps, which is depicted in figure 1 below as modeling, data engineering, and training. Once the ML engineer(s) is successful with this stage, it would be coupled with the deployment step to form a second e2e pipeline. Typically, the model was deployed into a container environment and accessed via a REST based or microservice interface.