*AI Engineer*
On-siteSydney, New South Wales, Australia or Melbourne, Victoria, Australia
EXPIREDSydney, New South Wales, Australia or Melbourne, Victoria, AustraliaOn-siteFull TimeEnterprise
Full TimeEnterprise
Job Summary
Develop and maintain secure CI/CD pipelines for AI/ML workflows, integrating security best practices across model development, training, and deployment phases. Implement tools for monitoring and securing AI/ML infrastructure and data pipelines, while conducting vulnerability assessments for AI models and underlying infrastructure. Collaborate with data scientists, AI engineers, and IT teams to ensure seamless, secure, and scalable operations that comply with security and privacy standards. Requires 2-4 years of professional experience in DevSecOps and MLOps.
Required Qualifications
- 2-4 years professional experience
- Proficiency in CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab) and automation frameworks
- Strong knowledge of cloud security (AWS, Azure, or Google Cloud) and containerization (Docker, Kubernetes)
- Experience with MLOps frameworks (e.g., Kubeflow, MLflow) and securing ML pipelines
- Familiarity with AI-specific vulnerabilities (e.g., adversarial attacks, model poisoning) and mitigation techniques
- Expertise in infrastructure as code (IaC) tools (e.g., Terraform, Ansible) and security compliance frameworks
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