Machine learning engineers design and develop algorithms and models that enable computers to learn from and make decisions based on data. They collect and prepare large datasets, design and implement machine learning models, train and tune these models, and evaluate their performance. Once models are optimized, they deploy them into production systems, ensuring they function effectively in real-world scenarios. Additionally, they continuously monitor and update models to maintain accuracy, collaborate with other professionals, and stay updated with the latest advancements in the field to enhance their work.