AI Ethicist

About the Role:

We are seeking a skilled AI Ethicist to assess, audit, and ensure 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 focus on fairness, transparency, privacy, security, and accountability across multi-cloud environments (AWS, Azure, GCP).

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

Key Responsibilities:

• Model Evaluation & Auditing
• Evaluate AI/ML, LLM, GenAI models for bias, fairness, explainability, robustness
• Conduct red-teaming, safety testing, adversarial analysis across AI pipelines
• Perform pre-deployment, post-deployment, continuous model audits
• Responsible AI Frameworks
• Operationalize implement RAI principles based on NIST AI RMF, OECD, ISO/IEC 42001, industry standards
• Collaborate data scientists, legal, compliance, product teams enforce responsible AI lifecycle checkpoints
• Multi-Cloud Deployment Compliance
• Ensure AI/ML systems deployed AWS, Azure, GCP hybrid environments meet data residency, compliance, ethical standards
• Evaluate model behavior variability risk exposure different cloud providers
• Tooling Automation
• Build integrate tools model explainability (SHAP, LIME), fairness (AIF360, Fairlearn), privacy (DP libraries)
• Leverage LLM-specific eval frameworks (TruthfulQA, HELM, RAGAS, model-card generators)
• Documentation Reporting
• Produce model cards system cards impact assessments DSA DPIA
• Deliver detailed evaluation reports risk scores mitigation recommendations internal external stakeholders

Required Skills & Qualifications:

• 5+ years AI/ML evaluation testing assurance roles
• Proven experience LLMs (GPT Claude LLaMA) generative AI (DALL-E Midjourney custom diffusion models)
• Strong knowledge fairness bias detection differential privacy red-teaming model transparency techniques
• Familiarity AI regulation governance EU AI Act FTC guidance DSA HIPAA etc.
• Experience cloud platforms (AWS Azure GCP) deploying evaluating AI services distributed architectures
• Proficiency Python libraries scikit-learn Transformers LangChain MLflow PyTorch etc.
• Strong communication reporting skills translate technical findings business risk language

Why Join Us:

• Work cutting-edge AI ethics safety trust
• Collaborate interdisciplinary teams engineering legal policy
• Influence how AI responsibly used industries sectors
• Shape safer accountable AI future