Bridgestone GCC is hiring a QA Analyst – AI/ML to drive quality across advanced AI and voice-based systems, ensuring seamless performance through robust testing and automation.
? Bangalore | ? Hybrid
Experience: 6+ years
Role Overview:
We are seeking an experienced QA Analyst to lead end-to-end AI/ML testing, with a robust focus on voice AI systems. This role involves designing and executing large-scale test scenarios, validating AI model outputs, and driving automation to enhance quality and efficiency.
Key Responsibilities:
Own the complete QA lifecycle for AI/voice systems, including test planning, execution, defect tracking, and release sign-off.
Design and execute extensive call-flow and voice AI test scenarios (IVR, ASR/NLU, TTS), including edge cases.
Develop and maintain automation frameworks for API, integration, and end-to-end testing.
Validate AI outputs for accuracy, safety, bias, and performance; document issues and behavioral gaps.
Build and integrate automated test pipelines into CI/CD workflows.
Collaborate with global teams to coordinate voice testing and improve QA processes.
Required Skills & Qualifications:
6+ years of QA experience with strong ownership of testing processes.
4+ years of automation experience using Selenium or Cypress.
Hands-on experience in AI/ML or voice/conversational system testing.
Proficiency in JavaScript, Python, or Java for automation.
Strong API testing experience (Postman, RestAssured, SoapUI).
Excellent communication skills and strong analytical mindset.
Experience with test management tools (JIRA, TestRail, Zephyr) and data formats like JSON/CSV.
Ability to design scalable test cases and drive process improvements.