What does a machine learning engineer do?

A Machine Learning Engineer designs, builds, and deploys machine learning models and systems that enable computers to learn from data and make predictions or decisions without being explicitly programmed. They work closely with data scientists to develop algorithms, prepare datasets, and optimize model performance. Additionally, they are responsible for scaling models to production environments, monitoring their outcomes, and maintaining the underlying infrastructure. Their work often involves programming, data preprocessing, model evaluation, and collaboration with cross-functional teams.