Security Lit - AI/ML Security Engineer (4-5 yrs)

Job Title : AI/ML Security Engineer.

We are seeking an experienced AI/ML Security Engineer to address emerging AI risks, including deepfake voice morphing, image injection, and AI-powered fraud schemes that could impact the bank's operations and customer trust.

The ideal candidate will proactively test AI/ML systems, evaluate existing controls, and design innovative solutions to mitigate risks associated with malicious AI use in the banking sector.

Key Responsibilities :

Testing and Mitigation of AI-Related Risks :

- Identify and mitigate AI-based threats such as deepfake voice morphing, fraudulent image manipulation, and injection-based attacks.

- Conduct testing on AI/ML models to simulate real-world adversarial attacks, including voice cloning, synthetic identity fraud, and AI-driven phishing calls.

- Develop detection techniques and preventive mechanisms for AI-generated fraud.

Evaluation of Existing Controls :

- Assess the bank's current security controls to identify vulnerabilities where AI/ML abuse could occur.

- Perform testing to evaluate the resilience of fraud detection systems against AI-powered threats.

AI/ML Application Security Testing :

- Perform penetration testing and security reviews of AI/ML systems, APIs, and models to ensure resilience against adversarial AI risks.

- Identify risks related to AI/ML misuse and data poisoning attacks in the bank's models.

Research & Development of Defense Mechanisms :

- Stay updated on emerging AI risks, such as generative AI for fraud, voice synthesis, and image manipulation techniques.

- Collaborate with cross-functional teams to implement advanced detection systems for deepfakes and AI-based fraud calls.

Collaboration and Reporting :

- Work with fraud prevention, cybersecurity, and development teams to strengthen defenses against AI-related threats.

- Provide comprehensive reports on identified risks, testing results, and actionable mitigation plans.

Required Skills & Experience :

Experience :

- 4-5+ years of experience in cybersecurity, fraud detection, or AI/ML security roles.

- Hands-on experience in testing and mitigating AI-driven threats, such as deepfakes and adversarial attacks.

Technical Skills :

- Strong understanding of AI/ML concepts, including generative models (GANs), synthetic media, and adversarial machine learning.

- Experience with tools for deepfake detection, voice morphing, and image manipulation analysis.

- Proficiency in programming/scripting languages (e.g Python) for model testing and automation.

- Familiarity with AI/ML testing frameworks and cloud AI services (AWS, Azure, GCP).

Analytical Skills :

- Ability to analyze and simulate AI-driven attacks such as voice cloning, synthetic image injection, and fraud calls.

Certifications (Preferred) : Relevant certifications such as OSCP, CEH, or AI/ML-focused certifications.

Preferred Qualifications :

- Experience identifying deepfake and synthetic media attacks.

- Familiarity with voice morphing tools, fraud detection techniques, and AI abuse scenarios.

- Awareness of regulatory and compliance requirements related to AI risk in the BFSI sector.

Let's build a safer digital world-together.