AI/ML Expert

The 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. Responsibilities include designing and maintaining structured guidelines and controls to secure AI systems, covering data protection, model security, and compliance requirements. The specialist evaluates and utilizes established frameworks such as Googles Secure AI Framework (SAIF), NIST AI Risk Management Framework, or the Framework for AI Cybersecurity Practices (FAICP) as references or baselines. Identifying, assessing, and mitigating security risks specific to AI, including adversarial attacks, data poisoning, model inversion, and unauthorized access is crucial. Regular vulnerability assessments and penetration testing on AI models and data pipelines are conducted to ensure security. Data used in AI systems is encrypted, anonymized, and securely stored, with robust access controls (e.g., RBAC, ABAC, Zero Trust) implemented for sensitive AI data and models. Protecting AI models from tampering, theft, or adversarial manipulation during training and deployment is a key responsibility. Monitoring and logging AI system activity for anomalies or security incidents is essential, along with developing and enforcing policies to ensure AI systems adhere to industry regulations, ethical standards, and organizational governance requirements. Promoting transparency, explainability, and fairness in AI models, establishing real-time monitoring and advanced threat detection for AI systems, developing and maintaining an AI incident response plan, educating teams on AI security best practices, and collaborating with various departments to align AI security with organizational goals are also part of the role. Qualifications required for this position include a strong understanding of AI/ML concepts, architectures, and security challenges, as well as strong programming skills in Python, R, or similar languages. Experience in Google Cloud Platform (GCP) or equivalent, solid understanding of machine learning algorithms, neural networks, NLP, and computer vision, familiarity with cloud AI/ML services and deployment pipelines, and knowledge of security frameworks and regulatory compliance are necessary. 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, a Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field, 5+ years in AI/ML roles including hands-on model development and deployment, a track record of delivering AI solutions that drive business value, and relevant certifications such as CAISF, AICERTs, AI for Cybersecurity Specialization, GCP Cloud certification or equivalent in AWS or Azure, and cybersecurity certificates are preferred qualifications for this role.,