AI Data Scientist Technical Leader (Hybrid)
Core
Develop, deploy, and maintain AI/ML models for yield analysis, debug, and predictive modeling in semiconductor manufacturing to drive product quality and manufacturing efficiency.
Role type
Senior IC AI Data Scientist (Semiconductor Manufacturing)
Builds
Production ML models and AI agents for yield analysis, root cause analysis, and failure prediction in silicon manufacturing.
Domain
Semiconductor manufacturing / Hardware Engineering
Deliverable
production ML models
Required skills
Python, pandas, scikit-learn, XGBoost, TensorFlow, PyTorch, AI agent frameworks, data visualization (matplotlib, seaborn, Tableau, Power BI), time-series forecasting, anomaly detection, classification, regression
Preferred skills
Cloud platforms (AWS, GCP, Azure), big data technologies, Optuna, hyperparameter optimization, hardware debug, reliability engineering
Technologies
Python, pandas, scikit-learn, XGBoost, TensorFlow, PyTorch, AWS, GCP, Azure, Optuna, Tableau, Power BI
Responsibilities
Develop and deploy AI/ML models for yield analysis and early-stage failure prediction; Build and optimize AI agents to automate data-driven root cause analysis; Analyze large-scale manufacturing and parametric datasets to identify trends and anomalies; Collaborate with hardware and process engineering teams to translate requirements into data science solutions; Design predictive models to forecast yield and quality metrics; Communicate findings and recommendations through visualizations and reports.
Seniority
Senior, hands-on IC