*AI Engineer*
Core
Secure and automate AI/ML pipelines by integrating robust security measures into CI/CD workflows.
Role type
DevSecOps Specialist (AI/ML)
Builds
Secure CI/CD pipelines for AI/ML workflows
Domain
Cloud security and MLOps
Deliverable
infrastructure
Required skills
CI/CD tools, cloud security, containerization, MLOps frameworks, AI vulnerability mitigation, infrastructure as code
Preferred skills
Knowledge of adversarial attacks and model poisoning mitigation
Technologies
Jenkins, GitHub Actions, GitLab, AWS, Azure, Google Cloud, Docker, Kubernetes, Kubeflow, MLflow, Terraform, Ansible
Responsibilities
Develop and maintain secure CI/CD pipelines for AI/ML workflows; Integrate security best practices across model development, training, and deployment phases; Implement tools for monitoring and securing AI/ML infrastructure and data pipelines; Conduct vulnerability assessments for AI models and infrastructure; Collaborate with teams to ensure compliance with security and privacy standards
Seniority
Mid-level, hands-on IC
