Architect and implement fully automated, reproducible environments using IaC tools such as Terraform, CloudFormation, or Ansible, maintaining version‑controlled infrastructure definitions.
Build, tune, and maintain end‑to‑end CI/CD pipelines that integrate source‑control triggers, automated testing, container registries, and release‑gate policies to accelerate reliable code delivery.
Design and implement security controls for AI/ML platforms, including model training environments, inference services, data pipelines, and feature stores.
Conduct threat modeling for AI systems, including model theft, data poisoning, prompt injection, model inversion, and abuse/misuse scenarios.
Design, implementation, and maintenance of security controls across the full AI/ML lifecycle, including training data validation, model registry policies, deployment guardrails, and production monitoring for anomalous model behavior.
Develop and maintain comprehensive threat models for AI/ML systems, covering prompt injection, ...
