Machine Learning Engineers spend most of their time on data-related tasks such as cleaning, joining datasets, and feature engineering. A smaller portion of their work involves fitting and testing models. They often ensure that data collection and infrastructure can adapt to changing product needs, maintaining data quality for accurate model training. Specialized roles in diverse cross-domain teams optimize efficiency.