An ML engineer is responsible for designing, building, and deploying machine learning models that drive Artificial Intelligence applications. Their role goes beyond research to focus on production-level implementation, ensuring models are scalable, efficient, and integrated with real-world systems. This topic explores how ML engineers collaborate with data scientists, handle large datasets, optimize algorithms, and use frameworks like TensorFlow or PyTorch to create AI-powered solutions that solve practical business and industry challenges.