This is often the outcome when AI projects lack Machine Learning Engineers and rely solely on Data Scientists.
Machine Learning Engineers play a crucial role in handling the technical aspects of AI projects, such as software engineering, app and infrastructure architecture, scalability, SECURITY and integration. While Data Scientists focus on the vital task of modeling estimators, classifiers, and LLMs, Machine Learning Engineers take charge of the traditional IT components.
