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Key Responsibilities

·       Test AI outputs for accuracy, consistency, edge cases, and failure modes

·       Validate training and inference data quality; identify bias and data leakage risks

·       Define and execute model evaluation and regression tests

·       Reuse and expand the Golden Dataset for regression testing across builds, prompt/model changes,           and releases.

·       Test AI behavior within end‑to‑end user workflows and integrations

·       Support Responsible AI testing (fairness, explainability, compliance)

·       Monitor model performance post‑release (drift, feedback, regressions)

·       Test automation coverage

·       Communicate risks and test findings clearly to stakeholders 

·       Track & report quality metrics such as accuracy, precision (and recall where applicable), clearly highlighting missing, incorrect, or hallucinated content.

Required Skills

·       QA/test planning, exploratory testing, and UAT experience

·       AI/ML fundamentals and evaluation metrics literacy

·       Data analysis and model behavior reasoning

·       Ability to test GenAI prompts and outputs (preferred)

·       Strong domain knowledge and user‑centric mindset

·       Clear documentation and communication skills

Qualifications

·       3–7+ years in QA, testing, or quality roles

·       Experience with AI/data‑driven products preferred

·       ISTQB, AI/Data, or Responsible AI training is a plus