TITLE: QA ANALYST — AI/ML

Location: Bangalore | Work mode: Hybrid Experience: 6+ years QA experience (required)

About the role We’re hiring a seasoned QA Analyst to own AI/ML testing with a heavy focus on voice AI. The role requires a confident, independent thinker who will design and run hundreds of call test scenarios, document results, coordinate voice testing with US teammates, and develop/maintain automation to improve coverage and efficiency.

Key Responsibilities

Own end-to-end AI/voice QA process: plan tests, create and maintain test artifacts, run tests, track defects, and sign off releases.
Design, author, and maintain hundreds of call/call-flow test scenarios and test matrices (currently tracked in spreadsheets).
Execute functional and exploratory testing of voice AI systems (IVR, conversational agents, ASR/NLU, TTS), including negative and edge-case scenarios.
Develop, maintain, and extend test automation for regression and smoke suites (API, integration, and end-to-end voice test automation).
Build automated test harnesses and pipelines to validate model outputs,



call flows, and telephony integrations; integrate tests into CI/CD.
Validate AI model outputs for correctness, safety, bias, and regressions; document behavioral drift and failure modes.
Coordinate and delegate voice test execution to US-based teammates, call center agents, or third parties; manage logistics and communication.
Improve QA processes: identify automation candidates, increase test coverage, and optimize documentation/workflows.
Required Qualifications

6+ years professional QA experience with demonstrable ownership of QA processes.
4+ years of hands-on QA automation experience using Selenium or Cypress.
Direct experience testing AI systems, ML models, or conversational agents (voice AI experience strongly preferred).
Solid knowledge of JavaScript/TypeScript, Java, or Python for automation scripting.
Experience in API testing using Postman, RestAssured, or SoapUI.
Excellent spok

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