ML Engineers generally work on developing and implementing machine learning models and algorithms to solve complex problems. They work on data preprocessing, feature engineering, model selection, hyperparameter tuning, and deployment of models. They also work on improving the performance of existing models and developing new models to solve new problems. They collaborate with data scientists, software engineers, and other stakeholders to ensure that the models are integrated into the larger system and meet the business requirements. They also stay up-to-date with the latest research and developments in the field of machine learning and apply them to their work.