At a Glance
- Tasks: Design and maintain ML pipelines, optimise infrastructure, and collaborate with data professionals.
- Company: Join a forward-thinking team in Adelaide focused on machine learning innovation.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with potential for contract extension and mentorship opportunities.
- Why this job: Make an impact in the ML field while working with cutting-edge technologies.
- Qualifications: Experience in ML Ops, cloud platforms, and strong problem-solving skills.
The predicted salary is between 123750 - 151250 $ per year.
- Overview
- 6 months initial contract with possible extension
- Adelaide Based Position
Duties and Responsibilities
- Design, implement, and maintain ML pipelines for model training, deployment, and monitoring.
- Develop automation and CI/CD workflows for ML models using tools such as
- 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.
Qualifications
- 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 now or reach to Ivan Aureus at for a confidential chat!
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Machine Learning Engineers employer: Talent
As a Defence Cyber Security Assessor, you will join a dynamic team dedicated to safeguarding critical technology environments. Our Canberra office fosters a collaborative work culture that prioritises employee growth through continuous learning and professional development opportunities. With a strong commitment to work-life balance and a focus on meaningful contributions to national security, we offer an exceptional environment for those looking to make a real impact in the field of cyber security.
We think you need these skills to ace Machine Learning Engineers
Machine Learning Pipelines
CI/CD Workflows
Australian Government Security Frameworks
ML Infrastructure Optimisation
Collaboration with Data Professionals
Model Monitoring and Alerting
Technical Advice and Mentorship
