In today’s data-driven world, machine learning (ML) has evolved from a research-focused field into a critical component of modern business operations. However, the challenges of deploying, scaling, and maintaining ML models in production have grown exponentially. This is where MLOps—a portmanteau of "Machine Learning" and "Operations"—comes into play.