We are expanding our engineering team with a dedicated MLOps Engineer specializing in AWS to support the deployment, scaling, and operationalization of machine learning solutions across our manufacturing and semiconductor analytics platforms. This role will serve as a critical bridge between our Machine Learning Engineers—focused on Generative AI and classical ML—and production environments, ensuring seamless, reliable, and efficient ML workflows.

You will collaborate closely with the Senior Machine Learning Engineer (GenAI Platform) and the Machine Learning Engineer (Classical ML and Predictive Analytics) to automate pipelines, monitor model performance, and manage infrastructure for high-stakes applications like test plan generation, anomaly detection, predictive maintenance, and market intelligence. In our AWS-centric ecosystem, you will leverage best-in-class tools to enable rapid iteration while maintaining compliance, security, and cost efficiency in regulated...