KPMG India | AI Security Manager | bangalore

1 month ago

bangalore, India KPMG India Full time

About KPMG in India


KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.


Responsibilities:

  • Evaluate, recommend, and implement security measures for the protection of AI/ML systems and data.
  • Conduct security assessments of AI/ML models and data processing pipelines to identify vulnerabilities and risks.
  • Managed implementation around AI/ML regulations, Risk and ensure adherence to industry standards and regulations to mitigate the AI/ML risks including Bias, Drift, Variance etc.
  • Develop and maintain secure development practices for the AI/ML lifecycle, including data collection, model training, and deployment.
  • Collaborate with AI/ML teams to embed security and privacy by design principles into model development.
  • Keep abreast of the latest AI/ML threats, vulnerabilities, and countermeasures.
  • Participate in the incident response activities related to AI/ML systems, including forensic analysis and mitigation.
  • Design and implement access controls and monitoring strategies tailored for AI/ML workloads.
  • Educate team members on best practices for securing AI/ML systems through training and knowledge sharing.
  • Work with compliance and governance teams to ensure AI/ML implementations abide by regulations and standards.
  • Provide strategic advice to clients on AI/ML security best practices and risk management.

Requirements:

  • Strong knowledge of AI/ML algorithms and ethical hacking practices.
  • Proficiency in programming languages (Python, R etc.) used in AI/ML, with a strong understanding of AI compliance.
  • Experience in addressing compliance/regulatory concerns (Bias, Drift, Explainability, AI fairness etc.) related to AI/ML specific to the financial industry.
  • Experience with AI security frameworks such as Microsoft's AI Security Framework, Google's AI Principles, or the NIST AI Risk Management Framework.
  • Relevant certifications such as Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), or AI-specific certifications like AI For Everyone by Coursera, ISO/IEC 42001: AI & Cybersecurity Essentials Excellent leadership and communication skills.
  • Ability to stay updated with the latest AI/ML security trends and technologies.
  • Experience working in a consultancy environment, providing strategic advice to clients.


Location: Bangalore / Mumbai (WFO)


Qualification :

  • Bachelor's or Master's degree in Computer Science, Cybersecurity, or a related field.
  • Minimum of 6-8 years of experience in cybersecurity, with a focus on AI/ML systems.
  • Experience in using AWS, MS Azure or GCP services around AI/ML and MLOps.
  • Preferred to have any associated Cloud, AI/ML Certification


Equal employment opportunity information


KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

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