Role & responsibilities

- Design, develop, and optimize Machine Vision and AOI solutions for manufacturing inspection systems.

- Develop image processing and computer vision algorithms for defect detection, pattern recognition, OCR/OCV, object detection, and dimensional measurement.

- Configure and integrate industrial cameras, lenses, lighting systems, and vision sensors to achieve optimal inspection performance.

- Perform camera calibration, optical setup, and lighting optimization for high-accuracy inspection.

- Develop and maintain vision applications using OpenCV, HALCON, Cognex VisionPro, TensorFlow, PyTorch, or similar vision frameworks.

- Implement AI/Deep Learning models for automated defect detection and classification.

- Integrate vision systems with PLCs, robotic systems, and manufacturing automation equipment.

- Troubleshoot vision hardware and software issues to improve inspection accuracy and production efficiency.

- Develop inspection recipes and optimize system performance for various manufacturing products.

- Collaborate with cross-functional teams including Automation, Mechanical, Electrical, Process, and Manufacturing Engineering.

- Support installation, commissioning, qualification, and maintenance of AOI systems.

- Analyze production data and continuously improve inspection algorithms to reduce false calls and increase detection rates.

- Prepare technical documentation, standard operating procedures, and validation reports.

Preferred candidate profile

- Bachelor's or Master's degree in Electronics, Electrical, Mechatronics, Instrumentation, Computer Science, Robotics, or a related engineering discipline.





- 310 years of hands-on experience in developing and implementing Machine Vision and Automated Optical Inspection (AOI) solutions in manufacturing environments.

- Strong expertise in Computer Vision, Image Processing, and AI/Deep Learning-based inspection systems.

- Proficient in vision development tools and libraries such as OpenCV, HALCON, Cognex VisionPro, TensorFlow, and PyTorch.

- Hands-on experience with industrial vision hardware, including GigE Vision and Camera Link cameras, camera calibration, optics, lens selection, lighting design, and LED controllers.

- Experience in developing inspection algorithms for defect detection, pattern matching, OCR/OCV, object detection, and dimensional measurement.

- Good understanding of PLC integration, robotics, industrial automation, and machine interfacing.

- Domain expertise in SMT, PCB Assembly, Electronics Manufacturing Services (EMS), Semiconductor Manufacturing, or Precision Manufacturing is highly preferred.

- Familiarity with industrial communication protocols and vision-guided automation systems.

- Strong troubleshooting, root cause analysis, and problem-solving skills with the ability to optimize inspection accuracy and production throughput.

- Experience in commissioning, validating, and supporting AOI systems in production environments.

- Knowledge of statistical process control (SPC), quality standards, and continuous improvement methodologies is an added advantage.

- Ability to work effectively in cross-functional teams and communicate technical concepts clearly with engineering, production, and customer stakeholders.

- Self-driven, adaptable, and capable of managing multiple projects in a rapid-paced manufacturing environment.

📌 Vision AOI Assistant Manager (Chennai)
🏢 Motherson
📍 Chennai