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Chief AI Assurance Officer

2 weeks ago

Delhi, Delhi, India beBeeEvaluator Full time ₹ 15,00,000 - ₹ 30,00,000
About the Role

We are seeking a highly skilled and principled AI Evaluator to assess, audit, and ensure the ethical development and deployment of AI models across the enterprise.

This role spans traditional machine learning models, Large Language Models (LLMs), and Generative AI systems, with a strong focus on fairness, transparency, privacy, security, and accountability across multi-cloud environments.

The ideal candidate combines deep technical expertise with a firm grasp of ethical frameworks, regulatory requirements, and responsible AI principles.

Key Responsibilities:

  • Evaluate AI/ML, LLM, and GenAI models for bias, fairness, explainability, and robustness
  • Conduct red-teaming, safety testing, and adversarial analysis across AI pipelines
  • Perform pre-deployment, post-deployment, and continuous model audits
  • Operationalize and implement RAI principles based on NIST AI RMF, OECD, ISO/IEC 42001, and industry standards
  • Collaborate with data scientists, legal, compliance, and product teams to enforce responsible AI lifecycle checkpoints
  • Ensure AI/ML systems deployed across different cloud providers meet data residency, compliance, and ethical standards
  • Buid or integrate tools for model explainability, fairness, and privacy
  • Produce model cards, system cards, and impact assessments

Required Skills and Qualifications:

  • 5+ years of experience in AI/ML evaluation, testing, or assurance roles
  • Proven experience with LLMs and generative AI
  • Strong knowledge of fairness, bias detection, differential privacy, red-teaming, and model transparency techniques
  • Familiarity with AI regulation and governance
  • Experience with cloud platforms and deploying/evaluating AI services in distributed architectures
  • Proficiency in Python and libraries such as scikit-learn, Transformers, LangChain, MLflow, PyTorch, etc.

Benefits:

  • Prior work with model evaluation benchmarks and large-scale LLM testing frameworks
  • Knowledge of secure and privacy-preserving ML techniques
  • Experience contributing to open-source Responsible AI tools or policy frameworks

Others:

  • Master's or PhD in Computer Science, Data Science, Ethics, or related field
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