Senior Computer Vision Engineer β Industrial Visual Inspection (5+ Years)
We are looking for a Senior Computer Vision Engineer to design, develop, and deploy end-to-end AI-based visual inspection systems for manufacturing environments. The role requires strong hands-on experience across camera systems, lighting, hardware accelerators, and advanced computer vision algorithms, with full ownership from inspection concept to production deployment.
The position supports local projects in India as well as global Rosenberger manufacturing and quality initiatives.
Key Responsibilities
Design and implement complete industrial visual inspection solutions, including:
- Camera, lens, and sensor selection, Lighting concept and setup (in collaboration with Process engineering and Machine Vision department)
- Image acquisition and synchronization
Develop computer vision solutions for:
- Automated quality inspection
- Defect detection and classification
- Dimensional measurement and visual compliance checks
Define and execute the full computer vision lifecycle:
- Data acquisition and dataset design
- Image labeling and annotation strategies, including quality control
- Model training, validation, deployment, and continuous improvement
Apply supervised, unsupervised, and semi-supervised learning approaches, including:
- Defect classification
- Anomaly and novelty detection for rare or unknown defects
Design, train, and optimize state-of-the-art computer vision models, such as:
- CNN-based architectures
- Vision Transformers and modern hybrid approaches
Optimize AI models for edge deployment and real-time performance using hardware accelerators
Collaborate with production, quality, automation, and IT teams across global Rosenberger locations
Ensure robustness of solutions under real-world industrial conditions
Document system designs and support global rollout and scaling
Required Qualifications
Bachelorβs or Masterβs degree in:
- Computer Science
- Artificial Intelligence
- Robotics
- Electrical / Mechatronics Engineering
- or related technical field
5+ years of hands-on experience in computer vision for industrial or real-world applications
Strong programming skills in:
- Python
- C++ (preferred for performance-critical components)
Proven experience with:
- OpenCV
- TensorFlow and/or PyTorch
Hands-on experience with state-of-the-art computer vision architectures, such as:
- Vision Transformers (ViT, Swin)
- Modern object detection and segmentation frameworks (YOLO, Mask R-CNN, SAMstyle approaches)
- Contrastive and self-supervised learning methods
Solid understanding of:
- Image processing fundamentals
- Object detection, segmentation, and classification
- Camera calibration and geometric vision
Ability to evaluate and adapt latest research and industry best practices to real-world industrial constraints
Experience working with noisy, unstructured, and imperfect industrial data
Ability to independently design and deliver end-to-end inspection systems
Strongly Preferred / Key Differentiators
Hands-on experience with industrial vision hardware:
- Area-scan and line-scan cameras
- Optics, resolution and field-of-view trade-offs
- Triggering and synchronization
Experience with edge AI and hardware acceleration:
- NVIDIA Jetson, GPU-based systems
- TensorRT, OpenVINO, ONNX Runtime
Knowledge of machine vision lighting techniques
Experience deploying AI models in production manufacturing environments
Exposure to:
- Active learning or semi-automatic annotation
- MLOps and model lifecycle management
- PLC, MES, or industrial automation integration
What We Offer
Opportunity to build and shape Rosenbergerβs Data & AI Competence Center in India
Work on high-impact, real manufacturing problems, not PoCs only
Strong collaboration with German HQ and global production sites
Long-term technical ownership and growth into Lead / Architect roles