AI/ML Security & DevSecOps Engineer

Accenture Global; Melbourne; On-site; AUD 80,000 - 85,000; Full time

Benefits offered by this job

18 weeks paid parental leave

Long & short-term career break

Structured career development program

Local and international career opportu

Job summary

Accenture is seeking a DevSecOps Specialist with expertise in securing and automating AI/ML pipelines. You will ensure that our AI/ML systems are deployed securely, integrating robust security measures into CI/CD workflows.

You will collaborate with data scientists, AI engineers, and IT teams to enable seamless, secure, and scalable AI/ML operations. We expect 2-4 years of professional experience in this role, with hands-on skills in CI/CD tooling, cloud security, and MLOps frameworks.

Qualifications

• Develop and maintain secure CI/CD pipelines for AI/ML workflows.
• Integrate security 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.

Responsibilities

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

Skills

CI/CD Tools

Cloud Security

Containerization

MLOps Frameworks

Threat Modelling

IaC Tools

Tools

Jenkins

GitHub Actions

GitLab CI

Terraform

Ansible

Kubeflow

Job description

Accenture is seeking a DevSecOps Specialist with expertise in securing and automating AI/ML pipelines. You will ensure that our AI/ML systems are deployed securely, integrating robust security measures into CI/CD workflows.

You will collaborate with data scientists, AI engineers, and IT teams to enable seamless, secure, and scalable AI/ML operations. We expect 2-4 years of professional experience in this role, with hands-on skills in CI/CD tooling, cloud security, and MLOps frameworks.