Profile- Al/ ML Security
Location- PAN INDIA
Exp-8+
Must Have
8+ years of experience in AI Security, Cybersecurity, Application Security, Cloud Security, or Model Assurance.
Solid understanding of AI/ML systems, Generative AI, LLMs, RAG architectures, AI agents, and MLOps pipelines.
Hands-on experience conducting security assessments across the AI/ML lifecycle, including data ingestion, training, deployment, inference, monitoring, and retirement.
Experience performing AI threat modeling using frameworks such as MITRE ATLAS, OWASP Top 10 for LLMs, or NIST AI RMF.
Experience securing and assessing LLM-based applications, RAG solutions, AI agents, and AI APIs.
Hands-on experience with AI security testing, abuse-case analysis, and validation of AI security controls.
Experience with AI model risk management and assurance frameworks.
Experience securing AI/ML workloads deployed on GCP, or AWS.
Solid knowledge of SSDLC, DevSecOps, CI/CD security, Infrastructure-as-Code, and cloud security best practices.
Experience conducting application security reviews,



architecture assessments, vulnerability assessments, and penetration testing.
Experience securing containers, Kubernetes platforms, APIs, and AI service endpoints.
Knowledge of IAM, secrets management, encryption, and key management controls.
Experience working within healthcare, medical device, life sciences, or other regulated environments.
Familiarity with HIPAA, GDPR, FDA-regulated software environments, and security compliance requirements.
Experience supporting audits, evidence collection, risk assessments, remediation tracking, and compliance reporting.
Robust stakeholder management, communication, and technical documentation skills.

Good to Have
Experience with AI Red Teaming and Adversarial Machine Learning testing.
Hands-on experience with AI security tools such as Garak, PyRIT, Counterfit, Promptfoo, NVIDIA NeMo Guardrails, or similar.
Experience assessing foundation mod

📌 Aiml Security Manager Pune
🏢 Etenico Technologies
📍 Pune