In order to implement machine learning on a mobile device, deep knowledge of machine learning algorithms, the entire process, and how to build the machine learning model is not required. For a mobile application developer who knows how to create mobile applications using iOS or Android SDK, just like how they utilize the backend APIs to invoke the backend business logic, they need to know the mechanism to invoke the machine learning models from their mobile application to make predictions. They need to know the mechanism to import the machine learning model into the mobile resources folder and then invoke the various features of the model to make the predictions.

To summarize, the following diagram shows the steps for a mobile developer to implement machine learning on a device: