• Build and maintain data pipelines to support machine learning and analytics workflows. • Collect, clean, and transform large, complex datasets from engineering environments. • Develop and train predictive models for yield, performance, and anomaly detection. • Automate recurring data analysis tasks and integrate models into engineering processes. • Collaborate with design and software teams to embed AI-driven insights into products. • Create dashboards and visualization tools for reporting and decision-making. • Document code, models, and processes for transparency and reproducibility.