AI Ethics and Assurance Professional

2 days ago

Davangere, Karnataka, India beBeeEthics Full time US$ 1,20,000 - US$ 1,50,000

Job Title: AI Ethics Specialist

We are seeking a skilled professional to fill this role.

About the Role:

We aim to hire someone who can assess, audit, and ensure the ethical development and deployment of AI models across our organization. This role spans traditional machine learning models, large language models (LLMs), and generative AI systems, with a focus on fairness, transparency, privacy, security, and accountability in multi-cloud environments.

The ideal candidate will combine deep technical expertise with knowledge 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.
  • Implement RAI principles based on 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.

Required Skills:

  • 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.

Benefits:

  • Work at the forefront of AI ethics and safety.
  • Collaborate with interdisciplinary teams.
  • Influence how AI is responsibly used.
  • Shape a safer and more accountable AI future.

Contact Information:

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