MLOps (Machine Learning Operations) is a practice that combines machine learning, DevOps, and data engineering to streamline and automate the deployment and management of ML models. It ensures reliable, scalable, and reproducible model performance throughout the model lifecycle. MLOps bridges the gap between data science and IT operations, enabling seamless collaboration and continuous integration.