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Tier-1 brand and metro senior role but niche AI-testing skills limit applicant pool.
Requires specialized AI/ML testing and SDET experience, less transferable across non-AI QA roles.
Explicit 8-12 years requirement plus mandatory AI-testing tools and SDET/ML validation skills.
Lead and define enterprise-wide AI testing and quality assurance strategies, including establishing quality standards and governance for AI/ML and GenAI applications.
Manage and advance a team of SDETs and QA engineers focusing on AI/ML testing, automation frameworks, model validation, and integration into CI/CD pipelines.
Ensure performance, reliability, data quality, and responsible AI practices across AI systems, including generative AI components and cloud-based deployments.
8-12 years of experience in AI/ML testing, quality assurance, or related fields.
Bachelor of Technology degree is mandatory; M.Tech/MBA/MCA also acceptable.
Proficiency in Playwright, Selenium, MLflow, OpenAI Evaluations, and CI/CD pipeline automation tools is required.
Work Experience Required: 8-12 years
Experienced in testing modern AI technologies including LLMs, RAG architectures, AI Agents, and Copilot solutions within enterprise-scale cloud environments.
Strong background in AI quality engineering, including bias/fairness evaluation, model/data drift testing, and performance/security testing.
Familiarity with MLOps/ModelOps practices and Responsible AI principles, preferably with relevant AI/ML certifications from major cloud providers.