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 stateoftheart vision foundation models for tasks like visual inspection defect classification in automotive parts and AIassisted repair manuals.
- Research stateoftheart 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
- Selfmotivated able to work Independently and Great ProblemSolving skills.
- Effective Communication and Presentation skills.
Additional Information :
- Candidate should fulfil the visa requirements for employment in Singapore.