AI/ML Engineer
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Summary
Build and deploy AI/ML models for semiconductor manufacturing, including defect detection and predictive maintenance, and design APIs to serve model results.
- Analyze and preprocess manufacturing datasets
- Build data ingest and transformation pipelines
- Create technical documentation and training
- Deploy AI models into production
- Design REST APIs for model results
- Develop deploy AI ML models for defect detection
- Identify AI integration opportunities
- Implement predictive maintenance models
- Improve yield optimize processes
- Integrate large-scale data solutions
- Lead AI proof of concept and pilot programs
- Manage AI development and production infrastructure
- Monitor AI system performance