Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering
Tasks
- Analyze engineering data for reliability improvement
- Analyze engineering data for yield improvement
- Build deviation alert systems
- Collaborate with cross-functional teams
- Conduct data extraction and analysis
- Deploy AI ML models for KPI improvement
- Develop deep learning models
- Develop machine learning models
- Develop product disposition solutions
- Implement wafer die and cube screening
- Mentor and develop team members
- Optimize screening efficiency
- Perform data mining
- Perform pattern recognition
- Present insights to non-technical stakeholders
- Track yield loss trends
- Validate AI ML model performance
- Validate product disposition workflows
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Data Analysis | Data Mining | Data Visualization | Data extraction | Deep learning | JMP | KPI analysis | Machine Learning | Model Development | Pattern Recognition | Power BI | Reliability analysis | Statistical tools | Tableau | Workflow development | Yield analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Analyst | Data Analyst | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Product Engineer | Scientist
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