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
- Skilled security-certification reimbursement (e.g., CCSP, CCSK)
- Annual learning and skill-development allowance
- Sponsored conference / training attendance
- Flexible work arrangements