





Specialized senior SDET with AI-testing skills in Bangalore yields moderate applicant density due to niche requirements.
Core QA automation skills transfer across industries, but AI/ML testing specialization raises domain specificity.
Explicit 7–10+ years, mandatory automation, AI-testing, CI/CD and programming skills create strict filtering.
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Lead QA strategy and roadmap for Uniphore’s AI and SaaS platforms focusing on automation, coverage, and release quality improvements.
Design and implement scalable automation frameworks for API, UI, and data validation testing including AI-based automation tools.
Lead validation of AI/ML workflows and enterprise platform testing including performance, security, regression, and end-to-end coverage across microservices and cloud-based solutions.
7–10+ years of experience in Software Quality Assurance with significant automation experience.
Bachelor’s degree in Computer Science or Engineering.
Expert-level proficiency in at least one programming language such as Java, Python, JavaScript, or TypeScript.
Experience with AI testing strategies for foundation models and CI/CD workflows; location preference Bangalore, India.
Experienced in testing complex distributed and AI-driven systems, including microservices and multi-tenant cloud platforms.
Strong ability to lead QA teams and design test strategies that cover end-to-end system reliability, performance, and security at enterprise scale.
Prior exposure to Agile/SAFe environments and mentorship roles in QA with hands-on skills in automation framework development and AI integration.