This paper introduces an MLOps-assisted framework leveraging Red Hat OpenShift AI (RHOAI) for the automated design of anomalous reflector metasurfaces. It employs a conditional Generative Adversarial Network (cGAN) with a surrogate model to efficiently create high-quality freeform metasurface designs.