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AI Ethics Specialist
2 weeks ago
About this 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 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.
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.
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.
RequirementsTo succeed in this role, you will need:
- 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, 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.
You will have the opportunity to:
- Work at the cutting edge of AI ethics, safety, and trust.
- Collaborate with interdisciplinary teams across engineering, legal, and policy.
- Influence how AI is responsibly used across industries and sectors.
- Shape a safer and more accountable AI future.
We are committed to building a better future through responsible AI practices.