Model development related: Responsible for data preprocessing for machine vision project classification, object recognition, image segmentation models, etc., as well as model training, iteration, and retraining, as well as model accuracy improvement, model search and other model-related tasks. Machine learning engineers can develop novel algorithms, build and clean datasets, train models, integrate models into the codebase, and perform continuous automated monitoring to ensure long-term success.