The evolving landscape of data science demands more than just model development; it requires robust, scalable, and dependable infrastructure to support the entire data science lifecycle. This overview delves into the vital role of Data AI/ML Engineering, outlining the real-world skills and frameworks needed to bridge the gap between data analysts a