Secure AI/ML DevSecOps Engineer

Accenture Infrastructure and Capital Projects, LLC; Sydney; On-site; AUD 110,000 - 150,000; Full time

Job summary

Accenture is seeking a DevSecOps Specialist to secure and automate AI/ML pipelines. You will ensure secure deployment, integrate security into CI/CD workflows, and collaborate with data scientists, AI engineers and IT teams to enable scalable, secure AI/ML operations.

Expect 2–4 years of professional experience for this role. You will develop secure pipelines, apply security across training and deployment, and work with Kubeflow/MLflow, Terraform, and container technologies to safeguard models

Qualifications

• 2–4 years of professional experience in DevSecOps or secure AI/ML deployments.
• Experience securing and automating AI/ML pipelines in CI/CD workflows.
• Knowledge of security best practices in cloud and container environments.

Responsibilities

• Develop and maintain secure CI/CD pipelines for AI/ML workflows.
• Integrate security practices across model development, training, and deployment phases.
• Implement monitoring and security tooling for 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.

Skills

CI/CD automation

Cloud security

Containerization

MLOps security

IaC tools

Tools

Jenkins

GitHub Actions

GitLab

Terraform

Ansible

Job description

Accenture is seeking a DevSecOps Specialist to secure and automate AI/ML pipelines. You will ensure secure deployment, integrate security into CI/CD workflows, and collaborate with data scientists, AI engineers and IT teams to enable scalable, secure AI/ML operations.

Expect 2–4 years of professional experience for this role. You will develop secure pipelines, apply security across training and deployment, and work with Kubeflow/MLflow, Terraform, and container technologies to safeguard models