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Principled AI Evaluator
2 weeks ago
Responsible AI ProfessionalWe are seeking a highly skilled and principled professional to assess, audit, and ensure the ethical development and deployment of AI models across our enterprise.This role spans traditional ML models, Large Language Models (LLMs), and Generative AI systems, with a strong focus on fairness, transparency, privacy, security, and accountability across multi-cloud environments (AWS, Azure, GCP, etc.).The ideal candidate combines deep technical expertise with a firm grasp of ethical frameworks, regulatory requirements, and responsible AI principles.Key Responsibilities:Model Evaluation & AuditingEvaluate AI/ML, , 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.Responsible AI FrameworksOperationalize 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.Multi-Cloud Deployment ComplianceEnsure AI/ML systems deployed across AWS, Azure, GCP, and hybrid environments meet data residency, compliance, and ethical standards.Evaluate model behavior variability and risk exposure across different cloud providers.Tooling & AutomationBuild or integrate tools for model explainability (e.g., SHAP, LIME), fairness (AIF360, Fairlearn), and privacy (DP libraries).Leverage -specific eval frameworks (e.g., TruthfulQA, HELM, RAGAS, model-card generators).Documentation & ReportingProduce model cards, system cards, and impact assessments (e.g., DSA, DPIA).Deliver detailed evaluation reports, risk scores, and mitigation recommendations for internal and external stakeholders.
