Automation Engineer (Bengaluru)

Automation Engineer (Bengaluru)

12 Oct
|
Advance Sensing
|
Bengaluru

12 Oct

Advance Sensing

Bengaluru

☰ Automation Engineer Location: Bengaluru, Karnataka

Experience: 2–5 Years

Qualification: B.E / B.Tech in ECE or Mechanical

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 solid technical learning and practical engineering exposure.

Apply for This Position





Interested candidates can submit their resume and details through the application form below.

Machine Vision Engineer: Engineering Expertise, Applications and Industry Value

Advance Sensing Private Limited provides Machine Vision Engineer careers in machine vision, industrial automation and AI engineering for manufacturers seeking dependable, scalable and application-specific engineering. Based in Bengaluru, Karnataka, the company combines more than 30 years of industry leadership experience with a young, technically strong engineering team working across machine vision, industrial automation, artificial intelligence, robotics, industrial sensing and manufacturing intelligence.

Careers at Advance Sensing give early-career engineers the opportunity to work on real industrial problems involving machine vision, automation controls, software, AI, robotics, optics, sensors and mechanical system design. Candidates can gain exposure to customer applications, system architecture, proof-of-concept development, commissioning, validation and technical documentation while learning from industry veterans with more than 30 years of experience.

Industrial applications

Typical applications include machine vision engineering, automation controls, AI and machine learning, software development, mechanical design, application engineering and industrial commissioning. Every deployment should be engineered around the production environment, target defects, takt time, product variation, operator workflow, data requirements and acceptance criteria.

Why manufacturers evaluate Advance Sensing

Advance Sensing brings together machine vision, AI inspection, industrial cameras, optics, lighting, sensors, PLC connectivity, robotics and software in a unified engineering approach. This helps manufacturers reduce manual inspection dependency, improve defect detection consistency, strengthen traceability, automate repetitive operations and build a practical roadmap toward smart factory and Industry 4.0 adoption.

Frequently asked questions

How should a manufacturer choose a machine vision or automation partner?

Review proven application engineering capability, system integration experience, validation methodology, support model and the provider's ability to connect cameras, sensors, robotics, software and factory controls into one reliable production solution.

Does Advance Sensing provide customized systems?

Yes. Solutions are developed around the customer's product, defect criteria, process, line speed, environment, automation architecture and reporting needs rather than being limited to a one-size-fits-all platform.

📌 Automation Engineer (Bengaluru)
🏢 Advance Sensing
📍 Bengaluru

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