Location: Bengaluru, Karnataka
Experience: 0–2 Years
Qualification: B.E / B.Tech in CSE or ECE
Role Overview
Advance Sensing is hiring a Machine Vision Engineer to design, develop, test, deploy and support industrial machine vision inspection systems for automated quality control, defect detection, dimensional measurement and smart factory inspection applications.
This role is suitable for engineers with practical experience in machine vision, computer vision, industrial cameras, optics, illumination, OpenCV, image processing, AI-based inspection and automation integration. As part of one of the growing machine vision and industrial sensing technology companies in Bengaluru, you will work on real production-line inspection systems used across manufacturing environments.
Key Responsibilities
- Design and develop industrial machine vision inspection systems for automated quality control applications.
- Develop image processing algorithms using OpenCV, CV2, Python and related computer vision libraries.
- Work on surface defect detection, dimensional inspection, part presence inspection, measurement validation and visual verification systems.
- Integrate industrial cameras, lenses, lighting systems, triggers, sensors and image acquisition hardware.
- Select suitable optics, illumination geometry and camera configuration based on application requirements.
- Support AI/ML-based defect detection, classification, segmentation and anomaly detection models using PyTorch, TensorFlow or similar frameworks.
- Work with PLC, automation and electrical teams for camera triggering, reject signals, inspection outputs and production-line integration.
- Conduct feasibility studies, sample trials, image analysis and proof-of-concept validation for customer applications.
- Commission, tune, debug and validate machine vision systems at customer manufacturing sites.
- Create inspection reports, technical documentation, validation records and application notes.
Required Skills
- Strong understanding of machine vision, computer vision and industrial image processing fundamentals.
- Hands-on experience with OpenCV, CV2, Python and vision algorithm development.
- Knowledge of industrial cameras, GigE cameras, USB cameras, smart cameras or camera SDKs.
- Understanding of optics, lenses, lighting techniques, exposure control, calibration and image acquisition.
- Experience in defect detection, pattern matching, edge detection, contour analysis, thresholding and measurement algorithms.
- Basic or working knowledge of AI/ML, deep learning, PyTorch, TensorFlow, object detection or image classification.
- Understanding of industrial automation, sensors, PLC communication and production-line inspection requirements.
- Strong analytical thinking, debugging ability and problem-solving mindset.
Preferred Knowledge
- Industrial machine vision inspection systems for manufacturing quality control.
- AI-based visual inspection systems for surface defect detection and automated inspection.
- Camera calibration, pixel-to-mm conversion, metrology inspection and dimensional measurement.
- Lighting methods such as backlight, ring light, dome light, coaxial light, darkfield and brightfield illumination.
- PLC integration, trigger synchronization, reject actuation, conveyor inspection and inline inspection systems.
- Experience with manufacturing sectors such as automotive, electronics, metal components, plastics, packaging or precision engineering.
- Exposure to Industry 4.0, IIoT, data logging, traceability and inspection analytics.
Tools and Technologies
- Python, OpenCV, CV2 and image processing libraries.
- PyTorch, TensorFlow or basic AI/ML frameworks.
- Industrial cameras, smart cameras, GigE Vision, USB3 Vision and camera SDKs.
- Industrial lighting, lenses, optical filters and vision accessories.
- PLC signals, sensors, triggers, encoders and automation interfaces.
- Inspection software, data logging, image logging and traceability systems.
Why Join Advance Sensing?
Advance Sensing works on advanced machine vision systems, AI-driven inspection software, industrial sensing platforms, automated inspection machines and smart factory quality control solutions. This role gives engineers hands-on exposure to industrial cameras, optics, lighting, OpenCV, AI/ML, automation hardware, PLC interfaces and real-world production-line machine vision systems.
If you are looking for machine vision engineer jobs in Bengaluru, computer vision jobs in India, AI inspection jobs in Karnataka, industrial automation careers, industrial camera jobs or opportunities with one of the growing machine vision technology companies in India, this role offers strong technical learning and practical engineering exposure.
Apply for This Position
Interested candidates can submit their resume and details through the application form below.
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