Candidate must have - AI/ML or Generative AI implementation experience, Python, AI/ML libraries, and data analysis tools.

Lower Bound Skills
Database testing Functional Testing or Quality Engineering experience.
AI/ML or Generative AI implementation experience.
Strong understanding of SIT, STLC, SDLC, Defect Management, and Test Management processes.
Experience with Python, AI/ML libraries, and data analysis tools.
Understanding of regression testing, risk-based testing, and test optimization.
Familiarity with Jira, Xray, Azure DevOps, or equivalent tools.
Good analytical and problem-solving capabilities.
Strong communication and collaboration skills.

Upper bound skills
8+ years of Testing and Quality Engineering experience.
4+ years of AI/ML implementation experience in QE environments.
Proven experience implementing AI-driven Testing accelerators.
Expertise in Predictive Analytics, Defect Prediction, and Quality Dashboards.
Experience with GenAI, LLMs, and AI-enabled SDLC solutions.
Strong understanding of Automation Testing and QE transformation programs.
Experience in large Banking or Digital Transformation engagements.
Ability to drive QE innovation and consulting initiatives.