This is a hands-on, full-ownership role for someone who lives at the intersection of optics, hardware and software. You’ll walk a client’s production line, design and build the imaging setup that works in that environment, develop the inspection algorithms, and deploy them on-site. You won’t just write code — you’ll make vision work on
a real factory floor: on reflective metal, at line speed, under real lighting.
Responsibilities
- Design the imaging setup for each deployment — select and position cameras, lenses and lighting for the specific part, surface and line conditions.
- Integrate the vision system with the line — mounting, triggering (encoder/PLC), synchronisation to line speed, factory-grade enclosures.
- Build and tune the vision algorithms — detection, tracking, measurement, defect/anomaly inspection — and validate them against real product.
- Deploy and commission on-site at client factories (domestic and international), and tune in the field until the system performs.
- Own each system end to end: acquisition → algorithm → deployment → field tuning → documentation and handover.
Must Have
- Proven, hands-on experience setting up machine-vision systems on real production lines — you’ve chosen the cameras, lenses and lighting and physically deployed them, not just integrated a vendor SDK.
- Strong optics fundamentals — lens selection (focal length, working distance, field of view, sensor/resolution), depth of field.
- Strong lighting skills — bright/dark field, dome, coaxial, backlight, strobe, wavelength selection; comfortable solving reflective/metallic surfaces and ambient-light challenges.
- Industrial cameras and interfaces — area and line-scan, global shutter, GigE Vision / USB3 Vision / CoaXPress; experience with machine-vision brands (Basler, Cognex, IDS, Allied Vision or similar).
- Solid programming and computer vision — Python, OpenCV, and a deep-learning framework (PyTorch or TensorFlow); object detection and tracking.
- Willingness to travel to client sites — both within India and internationally (valid passport required).
- Typically 5+ years in machine vision, industrial imaging or vision-system integration.
Nice to have
- PLCs and industrial protocols (Ethernet/IP, Modbus); C++.
- 3D vision / depth sensing.
- Robotics or automation-systems exposure.
- Familiarity with quality-control and inspection standards.
What's great in the job?
- Genuine end-to-end ownership — the whole vision system is yours, not a slice of it.
- Real deployments, real variety — different products, surfaces and challenges every time, across India, the Gulf, Europe and China.
- Modern AI tooling — we build AI-augmented, so your time goes on the hard imaging problems, not boilerplate.
- Be the vision authority for a growing industrial-AI product, with room to shape how it’s built and deployed.
What We Offer
Each employee has a chance to see the impact of his work.
You can make a real contribution to the success of the company.
Several activities are often organized all over the year, such as weekly
sports sessions, team building events, monthly drink, and much more
Perks
A full-time position
Attractive salary package.
Trainings
12 days / year, including
6 of your choice.
Sport Activity
Play any sport with colleagues,
the bill is covered.
Eat & Drink
Fruit, coffee and
snacks provided.
