Hello
Greetings from ZettaMine Labs Pvt Ltd!!
We are looking for AI Application Security Engineer for PAN India.
Job Role : AI Application Security Engineer
Location : PAN India
Notice Period : NA( As it is for Gig Workers)
Experience : 0 to 2 years
Relevant Exp : Extensive knowledge, or hands-on experience in the below skill sets.
- LLM security risks & OWASP LLM Top 10
- Secure coding review (Python / Java / .NET)
- Adversarial ML concepts & attack surfaces
- SAST, SCA, and CI/CD security basics
- AI/ML application threat modelling
- AI regulatory frameworks (NIST AI RMF, EU AI Act)
- STRIDE or equivalent threat frameworks
- Security documentation & reporting
Mandatory :
- PhD in Computer Science, Cybersecurity, AI/ML, Software Engineering, or a closely related field or a Masters with a strong dissertation focus on AI security, adversarial ML, or application security
- 0-2 years of professional experience; strong academic or research track record in AI/ML security, application security, or adversarial systems is equally valued
- Working knowledge of LLM security risks, adversarial AI concepts, and AI/ML system vulnerabilities (OWASP LLM Top 10, prompt injection, model inversion, etc.)
- Familiarity with at least one programming language for scripting or code review (Python preferred)
- Clear analytical and written communication skills ability to document findings and explain security risks to technical and non-technical audiences.
Job Description:
Key Responsibilities
Secure AI Development Lifecycle
- Support the embedding of automated security checks into AI development pipelines including SAST, SCA, and AI-specific vulnerability scanning under senior guidance
- Assist in reviewing AI-integrated codebases and ML-Ops workflows for security vulnerabilities, misconfiguration, and unsafe model deployment patterns
AI Threat Modelling
- Participate in threat modelling sessions for agentic and AI systems; learn to apply STRIDE and AI-specific threat frameworks to identify attack surfaces and design security requirements
- Document threat model outputs with clear impact assessments and contribute to security requirement specifications for AI platform teams
AI Security Subject Matter Support
- Contribute to the development of information security policies and standards for AI systems in collaboration with senior risk and security leads
- Support AI security incident analysis and help develop incident response playbooks for AI-related events including prompt injection, model abuse, and data exfiltration
- Act as an internal resource for AI security knowledge researching emerging attack patterns, regulatory requirements, and security tooling relevant to AI platforms
Standards, Research & Growth
- Monitor and synthesise developments across AI security frameworks (NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10, EU AI Act) to keep Platinas practices current
- Contribute research notes, threat intelligence, and technical findings to Platinas internal knowledge base and client-facing security standards
Please provide following detail along with your updated profile to [Confidential Information]
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I will be reaching out to you over a call or email as soon as possible.
Thanks & Regards,
Vyshnavi
