Responsible AI Practitioner

1 day ago


Kurnool, Andhra Pradesh, India beBeeEthicist Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Description:

AI Ethicist and Assurance Specialist

We 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 machine learning models, large language models, and generative AI systems, with a strong focus on fairness, transparency, privacy, security, and accountability in 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 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.

Requirements:

  • 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 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.

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 Join Us:

  • 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.


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