Automation & Machine Vision Engineer

We are seeking a highly motivated Automation and Machine Vision Engineer to join our Industrial AI and Automation team. The ideal candidate will have hands-on experience in developing and deploying computer vision solutions for manufacturing, quality control, and robotic inspection. You will be responsible for designing AI-based vision systems using cameras, deep learning models, and edge computing platforms.
- Develop and deploy machine vision applications using industrial cameras (e.g., Basler, FLIR). - Design AI-based inspection systems for detecting defects such as scratches, dents, mislabels, and missing components. - Build and train deep learning models using CNN, YOLO, RCNN for object detection, OCR, classification, and segmentation. - Integrate vision systems into automation workflows, PLCs, or robotic arms using standard protocols. - Work with image acquisition pipelines, camera calibration, lighting setup, and industrial communication standards. - Collaborate with software, automation, and mechanical teams to build end-to-end inspection systems. - Optimize model performance on edge devices (e.g., NVIDIA Jetson, Raspberry Pi, etc.). - Perform on-site testing, calibration, and commissioning at industrial client locations.

Required Skills: - B.E./B.Tech in Instrumentation, Electronics, Mechatronics, Computer Science, or related field.
- 2-5 years of relevant experience in machine vision, automation, or AI-based quality control systems. - Strong problem-solving skills and ability to work independently in R&D or client-facing roles. - Strong knowledge of OpenCV, Python, TensorFlow/PyTorch, and image processing. - Experience with YOLO, Faster-RCNN, SSD or other real-time object detection models. - Hands-on with industrial camera systems (Basler, Hikvision, Cognex, etc.). - Familiarity with edge AI platforms like NVIDIA Jetson Nano/Xavier. - Understanding industrial automation systems, SCADA/PLC integration. - Experience with machine vision software (e.g., Halcon, LabVIEW Vision, MVTec) is preferred. - Familiarity with SCADA, Historian systems, or MES integration. - Exposure to virtualization, server-client architecture, or redundant systems. - Knowledge of video analytics, CCTV integration, and industrial automation security.