Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 bank brand and metro hiring increase applicants, but AI/LLM specialization narrows the candidate pool.
AI/ML testing specialization and financial controls increase domain specificity, moderately limiting cross-industry transferability.
Mandatory 7+ years plus specialized AI-testing, Python/Selenium, SQL and observability tool requirements make shortlisting highly strict.
Lead design, development, and execution of test automation frameworks and strategies for AI/ML and Generative AI applications.
Monitor and ensure product and process quality throughout the SDLC, including risk assessment and compliance adherence.
Collaborate cross-functionally to identify defects, recommend improvements, and enforce AI quality, governance, and ethical standards.
7+ years of experience in Quality Engineering or Software/Data Quality Assurance.
Strong proficiency in Python scripting and test automation framework development, especially using Selenium.
Proficient in SQL for complex backend data validation and testing.
Experience testing AI/Machine Learning systems, with knowledge of Generative AI and related evaluation frameworks; Bachelor’s degree or equivalent experience.
Experienced in building scalable automation solutions specifically for AI/ML models and large language models.
Capable of independently evaluating AI model metrics such as fairness, accuracy, and robustness, and implementing observability tools.
Able to influence quality standards and lead risk mitigation efforts related to AI ethics and output safety in a complex technology organization.