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Mid-level Bangalore role with metro and experience amplifiers, but niche AI-assurance skills limit applicants.
Specialized AI-assurance, explainability, and regulatory mapping skills create strong domain-specific hiring bias.
Explicit 5-7 years plus mandatory AI-assurance, ML QA, Python and CI/CD requirements enforce strict filters.
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Build and maintain evaluation datasets and scenarios for 19 Trustworthiness checks across Gemini-based AI agents.
Run scheduled and on-commit bias, toxicity, red-team, and explainability test suites; triage failures to respective owners.
Maintain CI/CD threshold gates to block releases on failing Trustworthiness checks and package audit evidence for compliance reviews.
5-7 years in QA/test engineering for ML or Generative AI systems with experience using evaluation frameworks like DeepEval, Ragas, or Promptfoo.
Hands-on experience with AssureAI or comparable AI-assurance/evaluation platforms.
Proficient in Python and familiar with CI/CD tools such as Cloud Build or GitHub Actions.
Working knowledge of AI bias/fairness testing, explainability techniques (SHAP/LIME), adversarial testing, and ability to interpret AI regulatory requirements (EU AI Act, NIST AI RMF, ISO/IEC 42001).
Experienced in operationalizing trustworthiness and compliance checks at scale for AI agent platforms like Gemini or similar.
Skilled at managing multiple failing test queues across numerous agents with attention to detail and ownership.
Able to translate AI regulatory frameworks into actionable test coverage and produce regular audit evidence packages independently.