Key Responsibilities:
- Designing, implementing, and maintaining security controls across networks, systems, and applications
- Conducting vulnerability assessments, penetration testing, and security audits to identify and address potential threats
Monitoring and responding to security incidents using SIEM and EDR tools
- Managing identity and access controls, including IAM, MFA, and RBAC, across both cloud and on-premises environments
- Enforcing endpoint protection policies, data loss prevention (DLP), and web application firewall (WAF) configurations
- Ensuring compliance with security standards and regulations, such as ISO 27001 and GDPR
- Assessing and mitigating security risks associated with AI/ML systems, including models, APIs, and data pipelines
- Implementing security controls against AI-specific threats, such as model inversion, adversarial attacks, and prompt injection
Collaborating with DevOps teams to ensure secure AI model development and deployment
- Ensuring AI use complies with data privacy regulations (e.g., GDPR) and AI governance frameworks
- Conducting periodic security audits and reviews of AI-driven applications identify vulnerabilities and mitigate emerging threats
- Developing and maintaining security documentation, including playbooks, incident response procedures, and guidelines
- Supporting awareness and training programs focused on AI-related security risks
- Performing other related tasks as they arise and as delegated by the Management

Ideal Requirements:
- B.E./M.E. in Computer Science, Information Security, Cybersecurity, or their equivalent.
- English Proficient
- A minimum of 3 years of experience in a relevant field
- Professional behavior and ethical conduct
- Delivering results
- Continuous improvement
- Accountability and taking ownership