Senior AI Security Engineer

Descripción del puesto

3–5+ years in security engineering or DevSecOps Foundational understanding of ML concepts, workflows, and frameworks (PyTorch, TensorFlow, scikit-learn) Working knowledge of LLMs, transformer architectures, and their security concerns (prompt injection, jailbreaking, data poisoning, model extraction) Container and Kubernetes security experience, including securing AI workloads Hands-on Python plus Bash or Go, and comfort with common data science libraries Cloud security in AI contexts — GPU security, distributed training, and data protection in ML pipelines Infrastructure-as-code experience (Terraform, Ansible) Solid grounding in encryption, key management, and PII/data privacy Familiarity with secure SDLC, ML supply-chain security, and model governance/versioning Working knowledge of compliance frameworks as applied to AI (GDPR, SOC 2) Strong communication skills and the ability to work independently or on a team