Job Type: Full Time – Work from Office + Customer Site Visits
- Key ResponsibilitiesUnderstand customer inspection and automation requirements.
- Conduct application studies at customer sites.
- Select suitable:
- Machine vision cameras
- Lenses
- Lighting
- Sensors
- Controllers
- Borescopes / inspection equipment
- Configure and commission machine-vision systems.
- Develop basic vision applications for:
- Presence / absence inspection
- Defect detection
- Position/orientation checking
- Measurement
- OCR / OCV
- Barcode / QR code reading
- Colour inspection
- Pattern matching
- Pass / Fail inspection
- Carry out camera calibration and image optimization.
- Support integration with PLCs, sensors, actuators and industrial I/O.
- Conduct customer demos, trials and feasibility studies.
- Prepare application reports, technical proposals and BOMs.
- Support installation, commissioning and troubleshooting.
- Provide customer training and after-sales technical support.
- Coordinate with suppliers for complex applications.
- Maintain demo equipment and application records.
Machine Vision Knowledge RequiredCandidate should have at least basic working knowledge of:
- Industrial cameras – area scan / smart camera basics
- Lens selection and working distance
- Lighting techniques
- Exposure, gain and focus adjustment
- Triggering and digital I/O
- Image processing fundamentals
- Blob analysis
- Edge detection
- Pattern matching
- OCR / OCV
- Measurement tools
- Camera calibration
- Pass/Fail logic
Programming KnowledgeYou do not necessarily need a hardcore software developer. For your current requirement, look for someone comfortable with:
- Python – basic to intermediate
- OpenCV – basic image processing
- Basic C# or C++ knowledge is an advantage
- Basic understanding of APIs / SDKs
- Serial communication / TCP-IP basics
- Modbus TCP / PLC communication basics
- Ability to understand sample machine-vision SDK programs
For SKVA, I would make Python + OpenCV compulsory at basic level, because this will tell you whether the candidate actually understands image-processing logic rather than only operating camera software.
Experience: Fresher to 2 years can work well if the candidate has strong technical interest and practical skills.
Significant Personal SkillsLook for someone who:
- Is comfortable visiting industrial customers.
- Can communicate technical concepts in simple English.
- Is willing to handle hands-on work.
- Can troubleshoot systematically.
- Is interested in cameras, optics, automation and programming.
- Can independently conduct product demonstrations.
- Is willing to learn new machine-vision software and hardware.
- Can prepare proper technical reports.
📌 Application Engineer (Chennai)
🏢 Shree Kay Vee Automation
📍 Chennai
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