A deep learning engineer is responsible for completing subtasks such as deployment, data engineering, and modeling. Data requirements are anticipated to be shown and defined by deep learning engineers. Data is also collected, transferred, supplemented, inspected, and cleaned by them. They should also know how to build up a cloud environment for deploying the specified models and converting prototyped code into production code. Deep learning models are also trained by a deep learning engineer.