AI Security Expert

Requirements
1-3 years of experience in AI security, cybersecurity engineering, or a related technical domain.
B.Tech or BCA degree in Computer Science, Information Technology, or a related field.
Demonstrable experience with Large Language Models (LLMs), AIOps principles, and MLOps security considerations.
Understanding of common AI/ML vulnerabilities, attack vectors, and defensive techniques.
Proficiency in identifying and addressing security risks across the AI lifecycle, from data ingestion to model deployment.
Nice-to-Have
Proficiency in Python for security scripting, automation, and data analysis.
Practical experience with prompt engineering techniques and adversarial prompt mitigation.
Foundational knowledge of infrastructure security principles, including cloud security (AWS, Azure, GCP) and container security.
Familiarity with threat modeling for AI/ML systems and frameworks like MITRE ATLAS.
Benefits
Health insurance for the employee and dependents
Professional security-certification reimbursement (e.g., CCSP, CCSK)
Annual learning and skill-development allowance
Sponsored conference / training attendance
Flexible work arrangements
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Work arrangement
No