ABOUT ROBERT BOSCH (SOUTH EAST ASIA)

Robert Bosch (South East Asia) Pte Ltd is a regional subsidiary of the Bosch Group, representing the Group’s interests in Southeast Asia, where it is currently present in all ASEAN member countries. The company is active in all the company’s four business sectors of Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. The Asia Pacific headquarters for its Mobility Aftermarket, Building Technology and Bosch Software Innovations businesses, as well as operations for Corporate Research and Advance Engineering, and Information Technology, are part of Robert Bosch (SEA) Pte Ltd. In Bosch, we are committed through our EVP ensuring all our associates to GROW, ENJOY and INSPIRE during their journey with us.
Job Description

This internship focuses on advancing Generative AI (GenAI) applications, including Vision Language Models (VLMs) and GraphRAG, to solve challenges in automotive aftermarket services, remanufacturing workflows, and industrial quality control. The candidate will work on projects that integrate multimodal AI systems to enhance defect detection, knowledge retrieval, and process automation in manufacturing/remanufacturing environments. As an Intern, GenAI Research Engineer you will support the following key tasks in collaboration with experience team members.

• Investigate state-of-the-art vision foundation models for tasks like visual inspection, defect classification in automotive parts, and AI-assisted repair manuals.
• Research state-of-the-art RAG and GraphRAG systems to organize technical documentation and remanufacturing guidelines into retrievable knowledge graphs, improving repair accuracy and parts lifecycle management.
• Project updates, presentation, support demonstrations for project stakeholders

QUALIFICATIONS

• Able to work full time for a Period of 6 months (01.04.2025 to 31.10.2025)
• Undergraduate/Graduate Studies in Mechanical Engineering, Electrical Engineering, Mechatronics, or Computer science.
• Proficiency in Python, PyTorch/TensorFlow, and NLP/Vision Libraries (Hugging Face, OpenCV)
• Familiarity with vision models (YOLO, Segment Anything, CLIP), and Knowledge Graph frameworks (Neo4j or Stardog).
• Exposure to cloud platforms (AWS, Azure) or Edge Computing.
• Collaborate with Robotics teams to integrate AI models with IoT platforms and Cobot systems
• Self-motivated, able to work Independently and Great Problem-Solving skills.
• Effective Communication and Presentation skills.

• Investigate state-of-the-art vision foundation models for tasks like visual inspection, defect classification in automotive parts, and AI-assisted repair manuals.
• Research state-of-the-art RAG and GraphRAG systems to organize technical documentation and remanufacturing guidelines into retrievable knowledge graphs, improving repair accuracy and parts lifecycle management.
• Project updates, presentation, support demonstrations for project stakeholder