A method may include receiving, at a processing system, surface data associated with a liner hanger system during performance of a liner hanger job from multiple sensors at a wellsite. The method also may include identifying, via the processing system, features associated with each event in a series of events associated with the liner hanger job and identifying parameters for machine learning models based on cross-validation of the surface data. The method may further include training, via the processing system, the machine learning models to identify the series of events in the liner hanger job based on the identified features and the identified parameters, where each machine learning model is associated with an event in the series of events. Additionally, the method may include generating, via the machine learning models, an inference as to a completion of an event based on the surface data.