Machine Learning Engineer

identify relevant parameter tables in technical documents. - You will implement machine learning / LLM-based extraction of material parameters and metadata and design a structured representation of material knowledge including provenance and validation rules. - Furthermore, you will build automated workflows that convert extracted data into simulation-ready datasets. - For extracted parameters you will implement quality checks and anomaly detection. You will also explore methods to improve extraction accuracy using ML techniques (prompting, classification, model evaluation). - Additionally, you will create tools that allow engineers to review and approve extracted information efficiently. - Finally, you will document the workflow and evaluate the performance of the developed system. # Qualifications - Education: studies in the field of Electrical Engineering, Physics, Computer Science, Data Science or comparable - Experience and Knowledge: experience with automation, data processing, LLMs, Python, Git, Linux - Personality and Working Practice: you approach tasks in a structured manner and develop solutions independently - Work Routine: your on-site presence is required - Languages: very good in English # Additional Information Start: according to prior agreement Duration: 3 - 6 months (confirmation of mandatory internship required) We offer you - 35 hours/week with flextime - a permanent contact person who will accompany you during your internship - a modern working environment, as well as mobile working by arrangement - the opportunity to become part of our student network students@bosch Stuttgart - discounts in our company restaurants Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit. Diversity and inclusion are not just trends for us but are firmly anchored in our