About the role
Lead the strategy and deployment of AI/ML solutions across global semiconductor manufacturing operations to drive yield, throughput, and cost improvements. Partner with engineering, IT, and operations teams to identify high-impact use cases, build scalable AI platforms, and ensure successful adoption across fabs and OSAT partners.
BankingOnsite
Key Responsibilities
- Develop and execute the global AI/ML strategy for manufacturing operations across all fabs and OSAT partners
- Identify, prioritize, and drive high-impact AI use cases in areas such as predictive maintenance, yield optimization, defect classification, and process control
- Lead cross-functional teams of data scientists, engineers, and operations staff to design, develop, and deploy AI solutions at scale
- Establish AI governance frameworks, data standards, and MLOps best practices to ensure reliable and scalable deployments
- Partner with IT and OT teams to integrate AI solutions with existing MES, ERP, and automation systems
- Create and deliver training programs to build AI literacy across engineering and operations organizations
- Develop business cases and ROI models for AI initiatives, securing executive sponsorship and funding
- Manage relationships with external AI vendors, cloud providers, and research institutions
- Monitor industry trends and emerging AI technologies to maintain competitive advantage
- Drive continuous improvement through post-deployment analysis and optimization of AI models
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, Industrial Engineering, Data Science, or related technical field; Master's preferred
- 8+ years of experience in AI/ML, data science, or advanced analytics roles within manufacturing environments
- Proven track record of successfully deploying AI/ML solutions in semiconductor or high-volume manufacturing operations
- Deep understanding of semiconductor manufacturing processes, equipment, and data systems
- Expertise in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and cloud AI platforms (AWS SageMaker, Azure ML, Google AI Platform)
- Strong programming skills in Python, SQL, and experience with big data technologies
- Experience with MES, ERP, SCADA systems, and IT/OT integration in manufacturing environments
- Demonstrated ability to lead cross-functional teams and manage complex technical projects
- Excellent communication skills with ability to translate technical concepts to business stakeholders
- Experience with change management and driving adoption of new technologies in manufacturing organizations
- Strong analytical and problem-solving skills with focus on business impact
- Willingness to travel up to 25% to global manufacturing sites
- Experience with edge computing and real-time AI inference in manufacturing environments preferred
- Six Sigma Green Belt or Black Belt certification preferred