Contribute to unified AI/ML capabilities by integrating classical ML models with Generative AI platforms (primarily AWS Bedrock) for applications in semiconductor manufacturing and risk analytics.
Support the development of anomaly detection and predictive maintenance systems using classical ML (XGBoost, Scikit-learn) on sensor and test data, including basic drift detection and model monitoring.
Assist in building and maintaining RAG pipelines and agentic workflows for tasks like automated manufacturing test plan generation, with focus on accuracy and hallucination reduction.
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