Description
The role develops, validates, deploys, and monitors machine-learning models for yield improvement, screening accuracy, process optimization, and manufacturing-system integration. It requires deep-learning and statistical-model expertise, Python and data-pipeline skills, and experience with model deployment, cloud training and inference, and production environments. The position is on-site for the first three months, with possible conversion to hybrid, and may involve travel to other Coherent sites.
