R&D Engineer - Semiconductor Testing & AI Integration (m/f/d)

As a Data Scientist (m/f/d), you will collaborate with senior team members to develop and deploy machine learning solutions, with a focus on Large Language Models (LLMs), for semiconductor testing and electrotechnical systems Assist in designing and implementing LLM-driven tools to automate data analysis, technical documentation processing, and defect prediction workflows for the 93K IC Test platform Work under guidance to preprocess datasets, fine-tune open-source LLMs (e.g., LLaMA, Mistral), and integrate retrieval-augmented generation (RAG) systems into testing pipelines Contribute to MLOps workflows for model training/evaluation using Python frameworks (PyTorch, Hugging Face) and cloud platforms (AWS/Azure) Participate in cross-functional agile teams to translate customer requirements into prototype solutions, with opportunities to lead smaller sub-projects Analyze semiconductor testing data (parametric measurements, yield logs) using statistical methods and visualization

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