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.

Perks

- 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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📌 AI Security Expert (Gurugram)
🏢 eSec Forte® Technologies
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