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AI Ethics Specialist

3 weeks ago

Bellary, Karnataka, India beBeeResponsible Full time ₹ 2,00,00,000 - ₹ 3,00,00,000
Job Description

About the Role:

  • 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.
  • Evaluate model behavior variability and risk exposure across different cloud providers.
  • Build or integrate tools for model explainability (e.g., SHAP, LIME), fairness (AIF360, Fairlearn), and privacy (DP libraries).
  • Leverage LLM-specific eval frameworks (e.g., TruthfulQA, HELM, RAGAS, model-card generators).
  • Produce 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.
    • ]

Required Skills:

  • 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.

Preferred Qualifications:

  • Master's or PhD in Computer Science, Data Science, Ethics, or related field.
  • Prior work with model evaluation benchmarks and large-scale LLM testing frameworks.
  • Knowledge of secure and privacy-preserving ML techniques (e.g., federated learning, homomorphic encryption).
  • Experience contributing to open-source Responsible AI tools or policy frameworks.

Why Work with Us:

  • Work at the forefront 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.