Hiring Manager : AI Risk & Quality Management for Bangalore Location.

Experience : 9-13 Yrs

Job Location- Bangalore

Job Description:

Work experience :

Postgraduate with 10+ years of experience and for graduate with additional 3 years of experience

Technical & Security Experience :

- 10+ years of experience in cybersecurity, AI risk, data security, or related fields.

- 5+ years of experience in AI/ML security, model governance, or AI compliance.

- Strong understanding of MLOps security, AI adversarial threats, model poisoning , data exfiltration and AI risk frameworks.

- Hands-on experience with AI security tools (e.g., ModelScan, RobustML, Microsoft Purview, IBM AI OpenScale).

- Experience securing ML pipelines, LLMs (Large Language Models), and AI APIs.

- Familiarity with secure AI coding practices (e.g., Python, TensorFlow, PyTorch, LangChain security best practices).

Legal & Compliance Experience :

- In-depth understanding of global AI regulations and standards (EU AI Act, NIST AI RMF, ISO 42001, GDPR, CCPA, etc.).

- Experience in legal assessments of AI bias, fairness, and explainability.

- Knowledge of intellectual property rights, AI contracts, and AI risk audits.

Leadership & Advisory Experience :

- Experience in advising AI development teams, guiding security reviews, and implementing compliance-driven AI solutions.

- Ability to translate complex security and legal concepts into actionable AI governance strategies and into business impact for Business units.

- Strong cross-functional collaboration with technology, legal, compliance, and risk management teams.

- Drive a culture of security-first AI development across the organization.

Preferred Certifications :

- CISSP, CCSP, CISM, CISA (Security & Risk Certifications)

- Certified AI Governance Professional (CAIGP), ISO 42001 Lead Auditor (AI Compliance & Governance)

- Azure AI Security, Google ML Security Specialist (Cloud AI Security)