Description

We are looking for a Senior / Lead QA Engineer with hands-on experience in end-to-end testing of AI/ML-powered and cloud-based media platforms.
The ideal candidate is not only technically proficient but also AI-aware in their QA approach — informed on the latest AI test strategies, conversant with AI-powered tools for test case generation and execution, and comfortable experimenting with recent AI-enabled frameworks that enhance automation efficiency.
You will help set up intelligent QA systems integrated into CI/CD pipelines, driving test automation and turnaround time (TAT) efficiencies across the team.

Key Responsibilities:
Own QA strategy, planning, and execution for AI/ML applications and microservices within the TRANSPARENT® AI platform.
Design, automate, and optimize test cases across functional, integration, regression, and performance testing.
Validate AI/ML model outputs for accuracy, consistency, and bias; collaborate with data scientists to fine-tune test strategies for non-deterministic systems.




Stay informed on AI-driven testing approaches and tools; apply them to enhance test coverage and reduce manual effort.
Experiment with and onboard AI-enabled testing frameworks that support CI/CD-linked automation and continuous validation.
Build and maintain intelligent test automation systems that improve overall system efficiency and TAT.
Test end-to-end content workflows involving video, audio, and text – transcoding, speech-to-text, computer vision, content QC, and metadata enrichment.
Develop and maintain automated test frameworks using tools like Playwright, PyTest, Selenium, Postman, JMeter, or Robot Framework.
Integrate QA seamlessly into CI/CD pipelines (Jenkins, GitHub Actions, or similar).
Collaborate closely with engineering, DevOps, and product teams to reproduce and resolve defects efficiently.
Contribute to improving QA standards, documentation, and test data management practices.
Support performance benchmarking, sca

📌 Senior Qa Engineer Bengaluru
🏢 Brahma
📍 Bengaluru