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AI Ethics and Assurance Specialist
2 weeks ago
About the Role:
We are seeking a highly skilled and principled AI Ethics and Assurance Specialist to assess, audit, and ensure the ethical development and deployment of AI models across our organization. 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.
- Ensure AI/ML systems deployed across AWS, Azure, GCP, and hybrid environments meet data residency, compliance, and ethical standards.
Required Qualifications:
- 5+ years of experience in AI/ML evaluation, testing, or assurance roles.
- Proven experience with LLMs (e.g., GPT, Claude, LLaMA) and generative AI (e.g., DALL·E, Midjourney, custom diffusion models).
- Strong knowledge of fairness, bias detection, differential privacy, red-teaming, model transparency techniques.
- Familiarity with AI regulation and governance (EU AI Act, FTC guidance, DSA, HIPAA, etc.).
- Experience with cloud platforms (AWS, Azure, GCP) and deploying/evaluating AI services in distributed architectures.
- Proficiency in Python and libraries such as scikit-learn, Transformers, LangChain, MLflow, PyTorch, etc.
- Strong communication and reporting skills, with the ability to translate technical findings into business risk language.
Benefits:
- 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.
Why Choose Us:
- We value innovation, collaboration, and diversity.
- We offer competitive compensation and benefits packages.
- We provide opportunities for professional growth and development.
- We prioritize work-life balance and employee well-being.