Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, metro location, and broad QA automation title create moderate applicant competition.
Specialized AI/ML testing skills and observability tooling create strong domain bias, limiting cross-industry transferability.
Explicit 7+ years plus mandatory Python, Selenium, SQL, and AI-testing requirements make filtering stringent.
Own the design, development, and execution of test strategies and automation frameworks for AI/ML and Generative AI applications using Python and Selenium.
Lead data validation, AI model evaluation, and quality assurance activities ensuring compliance with project standards and procedures throughout the SDLC.
Drive AI observability, implement AI guardrails, and manage risk detection for bias, toxicity, hallucinations, and unsafe outputs in AI systems.
7+ years in Quality Engineering or Software/Data Quality Assurance.
Strong expertise in Python scripting, Selenium for web automation, and complex SQL for backend data validation.
Experience testing AI/Machine Learning systems, including Generative AI concepts and LLM evaluation frameworks.
Bachelor's degree or equivalent experience.
Expert in quality engineering with demonstrated leadership and mentorship roles within agile and cross-functional teams.
Proficient at integrating AI-specific quality assessment methodologies including observability and automated evaluation frameworks.
Ability to influence standards and improvements in software quality processes with strong analytical and risk assessment skills.