MLOps (Machine Learning Operations) is the practice of streamlining the development, deployment, and maintenance of machine learning models, essentially bridging the gap between data science and operations. AI Engineering encompasses the broader field of designing, building, and managing AI systems, including the infrastructure and tools that support them. While MLOps focuses on the specific processes of ML lifecycle management, AI Engineering takes a more holistic view of the entire AI ecosystem.