Machine Learning Engineer's

The opportunity

Our client is a community focused Federal Government Agency. They are currently seeking a mid-level and a senior-level Machine Learning Engineer for a 6-month initial contract with the view for extension.

These contracts will commence as soon as possible with an office location in the Melbourne CBD, expecting 2 days a week onsite with the remainder from home. Open market hourly rates are on offer dependant on level of experience.

*Please note that Australian Citizenship is a requirement to be eligible to work for this Federal Government Agency*

Your responsibilities will include:

• Design, implement, and maintain ML pipelines for model training, deployment, and monitoring.
• Develop automation and CI/CD workflows for ML models using tools.
• Ensure compliance with Australian Government security frameworks (ISM, PSPF) and agency policies.
• Optimise ML infrastructure for performance, scalability, and cost-effectiveness.
• Collaborate with data professionals to transition models from development to production.
• Implement monitoring and alerting for model performance and data drift.
• Provide technical advice and mentorship to team members and stakeholders.
• Stay current with emerging ML Ops technologies and best practices.

About you

• Demonstrated experience in ML Ops or related roles within complex environments.
• Strong knowledge of ML lifecycle management and deployment strategies.
• Proficiency in cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes).
• Experience with ML Ops tools (Kubeflow, MLflow, Airflow) and CI/CD pipelines.
• Solid understanding of data engineering, version control (Git), and automation frameworks.
• Excellent problem-solving skills and ability to work under pressure.

APPLY

Submit your resume, or for further information please contact [email protected]