QA Engineer | Video Analytics
Samriddhi Automations Private Limited (company site, opens in a new tab)2–5 yrsNoidaOn-siteDirect career pageEst. 7–13 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own quality assurance for AI-driven video analytics products including AI accuracy, functional, integration, and performance testing.
- Develop and implement test strategies, automation scripts, and datasets to ensure reliable performance on real cameras and edge devices at scale.
- Validate AI metrics such as precision, recall, and false-alarm rates, and conduct hardware testing including resource usage and stability on edge devices and GPU servers.
Minimum Requirements
- 2-5 years of software QA experience with hands-on testing of video, CCTV/VMS, IoT, or AI/ML products.
- B.Tech/BE/MCA in Computer Science, IT, Electronics or equivalent degree.
- Proficient in Python scripting for test automation and API testing using tools like Postman, pytest, or requests.
- Familiarity with Linux command line, Docker, IP cameras, RTSP/ONVIF protocols, video codecs, and NVR/VMS platforms.
Ideal Candidate Profile
- Experienced in applying QA methodologies, defect lifecycle management, and Agile/Scrum practices specifically in video analytics or AI product environments.
- Capable of building comprehensive test automation frameworks integrating video stream simulation and multi-camera systems.
- Strong understanding of machine learning evaluation metrics such as precision, recall, mAP, and confusion matrix for AI accuracy validation.