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Tier-1 brand, Bangalore metro, and mid-level role increase competition despite niche AI-security focus.
Specialized AI/ML security skills make background fit highly industry-specific.
Extensive mandatory tech stack and AI/ML security expertise indicate high shortlisting strictness.
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Design and deliver cybersecurity software solutions focusing on AI/ML system security.
Identify vulnerabilities and define security controls for AI/ML deployments, including conducting adversarial simulations on large language models.
Develop and maintain secure microservices and cloud security controls using Java, Python, AWS, Azure, and infrastructure as code tools.
Bachelor’s or Master’s degree in Computer Science, Information Security, or related field.
2+ years of applied security engineering experience with formal training or certification in security engineering concepts.
Extensive experience in Java, Spring, Spring Boot, microservices architecture, Python, and cloud computing (AWS, Azure).
Experience with API security (OAuth 2.0, OpenID Connect, SAML), containers and orchestration tools (Docker, Kubernetes, Helm), and SQL programming (MySQL).
Proven expertise in securing AI/ML systems throughout the model development lifecycle, including adversarial testing and AI ethics knowledge.
Skilled in cloud and microservices security engineering within agile, cross-functional teams focused on innovative technology solutions.
Experienced in developing security tools and controls for AI/ML systems leveraging Java, Python, and cloud infrastructure as code.