ML Ops Engineer: Production ML Pipelines & Cloud

Talent; South Australia; On-site; AUD 120,000 - 180,000; Full time

Job summary

A leading recruitment firm is seeking an ML Ops professional for an Adelaide-based position. This contract role involves designing and maintaining ML pipelines, ensuring compliance with security frameworks, and collaborating with data professionals. Candidates should have experience in ML Ops roles, with proficiency in cloud platforms and CI/CD tools. This is an excellent opportunity for those looking to advance their career in ML technology while providing mentorship to team members.

Qualifications

• Demonstrated experience in ML Ops or related roles within complex environments.
• Strong knowledge of ML lifecycle management and deployment strategies.
• Solid understanding of data engineering, version control (Git), and automation frameworks.

Responsibilities

• Design, implement, and maintain ML pipelines for model training, deployment, and monitoring.
• Develop automation and CI/CD workflows for ML models.
• Ensure compliance with Australian Government security frameworks and agency policies.
• Provide technical advice and mentorship to team members.

Skills

ML Ops experience

Cloud platforms (AWS, Azure, GCP)

Containerisation (Docker, Kubernetes)

CI/CD pipelines

Data engineering

Problem-solving skills

Tools

Kubeflow

MLflow

Airflow

Job description

A leading recruitment firm is seeking an ML Ops professional for an Adelaide-based position. This contract role involves designing and maintaining ML pipelines, ensuring compliance with security frameworks, and collaborating with data professionals. Candidates should have experience in ML Ops roles, with proficiency in cloud platforms and CI/CD tools. This is an excellent opportunity for those looking to advance their career in ML technology while providing mentorship to team members.