AI Engineer

Key Responsibilities

• Support semiconductor wafer inspection team by practical AI/ML/LLM solutions for wafer‑inspection and yield‑engineering workflows. 
• Understand wafer inspection and classification use cases and datasets. 
• Build & optimize RAG pipelines (chunking, embeddings, vector DBs, retrieval, reranking). 
• Develop LLM applications: fine‑tuning, prompt design, structured outputs, inference services. 
• Implement ML models: classification, regression, anomaly detection, recommendation. 
• Contribute to DL architectures: CNNs, RNNs, Transformers. 
• Build robust evaluation: accuracy, F1, BLEU, perplexity, hallucination detection. 
• Use SQL, Git, Jupyter, basic Docker for data and model workflows.