What youll do

- Plan, design, and execute functional, integration, regression, and system tests for ,edge apps, and vision solutions
- Validate AI model performance: detection accuracy, FP/FN, edge cases across customer environments
- Create/maintain test plans, cases, reports; ensure release readiness
- Identify/track defects; partner with Product/AI/Platform/Implementation teams
- In office validation, commissioning support, and acceptance testing as needed
- Verify releases across hardware, cameras, environments, integrations, and edge devices
- Improve QA processes; develop automated tests and metrics
- Ensure QA standards, docs, and risk mitigation

What were looking for

- Bachelors in CS/IT/ECE/AI or related
- 03 years QA experience; robust fundamentals; fresh grads welcome




- Solid understanding of STLC/SDLC and testing types; manual testing basics
- Tools: Postman, Jira, Git, SQL, REST APIs, Linux; Python scripting a plus
- Basic Computer Vision/AI concepts (object detection, classification, segmentation)
- Strong analytical, documentation, and communication skills; team player; travel-ready

Nice to have

- Automation testing exposure

Why join

- Work on a real AI/vision platform; impactful deployments with customers
- Growth, learning, and cross-functional exposure
- Travel to customer sites as needed

📌 QA Engineer - AI/Computer Vision (Manual & Automation) (Chennai)
🏢 Spritle Software
📍 Chennai