Research Engineer – Generative AI and Computer Vision
Robert Bosch GmbH (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 3h ago
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Job description
Structured overview of role & requirements
About This Role
- Research, design, and implement Generative AI techniques for synthetic image dataset creation addressing data limitations and rare defects.
- Develop, evaluate, and deploy deep learning computer vision models (classification, detection, segmentation, anomaly detection) across the complete model lifecycle including continuous monitoring and improvement.
- Translate research into scalable AI solutions integrated with cross-functional teams for industrial applications, focusing on real-world challenges like data drift and model degradation.
Minimum Requirements
- Ph.D. or M.S./M.Tech in Computer Science, AI, Machine Learning, Electrical/Electronics, Robotics, Applied Mathematics, or closely related fields from top institutes (e.g., IITs, IISc).
- At least 3 years of relevant professional or applied research experience in computer vision, deep learning, Generative AI, or related areas.
- Strong proficiency in Python and PyTorch; hands-on experience with CNNs, transformers, and Generative AI models (diffusion models, GANs, VAEs).
- Experience with computer vision tasks including classification, object detection, segmentation, anomaly and defect detection; plus knowledge of model evaluation metrics and monitoring techniques.
Ideal Candidate Profile
- Experienced in bridging advanced AI research with real-world industrial deployment, especially in quality inspection or manufacturing contexts.
- Demonstrates expertise in synthetic data generation, data-efficient learning methods, and robust model monitoring for changing or limited data conditions.
- Proficient in collaborative, cross-disciplinary development involving software engineering best practices and integration with MLOps or cloud deployment frameworks.