This specialist combines expertise in cybersecurity and AI/ML to design, implement, and maintain security frameworks, ensuring the integrity, confidentiality, and compliance of AI-driven solutions throughout their lifecycle. This also involves collaboration with cross-functional, stakeholders and AI Engineers to build and deploy enterprise-wide AI security framework.

• Design and maintain structured guidelines and controls to secure AI systems, covering data protection, model security, and compliance requirements.
• Evaluate and utilize established frameworks such as Google’s Secure AI Framework (SAIF), NIST AI Risk Management Framework, or the Framework for AI Cybersecurity Practices (FAICP) as references or baselines.
• Identify, assess, and mitigate security risks specific to AI, including adversarial attacks, data poisoning, model inversion, and unauthorized access.
• Conduct regular vulnerability assessments and penetration testing on AI models and data pipelines.
• Ensure data used in AI systems is encrypted, anonymized, and securely stored.
• Implement robust access controls (e.g., RBAC, ABAC, Zero Trust) for sensitive AI data and models
• Protect AI models from tampering, theft, or adversarial manipulation during training and deployment.
• Monitor and log AI system activity for anomalies or security incidents
• Develop and enforce policies to ensure AI systems adhere to industry regulations, ethical standards, and organizational governance requirements.
• Promote transparency, explainability, and fairness in AI models.
• Establish real-time monitoring and advanced threat detection for AI systems.
• Develop and maintain an AI incident response plan for prompt mitigation and recovery.
• Educate teams on AI security best practices and foster a security-aware culture.
• Collaborate with IT, data science, compliance, and business units to align AI security with organizational goals.

• Technical Skills:
• Strong understanding of AI/ML concepts, architectures, and security challenges.
• Strong programming skills in Python, R, or similar languages.
• Strong experience in Google Cloud Platform (GCP) or equivalent.
• Solid understanding of machine learning algorithms, neural networks, NLP, and computer vision.
• Experience with cloud AI/ML services and deployment pipelines is a plus.
• Experience with security frameworks (e.g., SAIF, NIST, FAICP) and regulatory compliance.
• Proficiency in data protection techniques, encryption, and secure access management.
• Familiarity with adversarial machine learning, model hardening, and input sanitization.
• Knowledge of incident response, monitoring tools, and threat intelligence platforms.
• Excellent communication and documentation skills for policy development and stakeholder engagement.

• Experience:
• Bachelor’s or Master’s degree in computer science, Data Science, Engineering, or a related field.
• 5+ years in AI/ML roles, including hands-on model development and deployment.
• Track record of delivering AI solutions that drive business value.

• Certifications:
  • Relevant certifications such as CAISF, AICERTs, AI for Cybersecurity Specialization or equivalent.
  • GCP Cloud certification or equivalent in AWS or Azure (preferred).
  • Cybersecurity certificates (preferred).