Senior ML Ops Engineer - Lead AI Deployments

Balance Recruitment; Sydney; Hybrid; AUD 140,000 - 190,000; Full time

Job summary

Balance Recruitment is seeking a Senior Machine Learning Ops Engineer for a government-connected agency. You will lead ML Ops strategy, collaborate with data scientists and engineers, and implement scalable AI/ML solutions affecting millions of Australians.

The role focuses on developing CI/CD pipelines, ensuring governance, and delivering robust ML deployments in a large, complex environment. Based in Australia with initial on-site work and subsequent hybrid flexibility.

Qualifications

• Advanced degree in AI/ML related field.
• 3+ years hands-on AI/ML engineering in large environments.
• Experience with ML Ops and deployment automation.

Responsibilities

• Plan and drive data engineering solution development balancing requirements.
• Monitor data standards, architectures, security, and compliance.
• Develop, evaluate, monitor, and deploy ML systems effectively and ethically.
• Lead release planning and risk analysis for deployments.
• Build automated CI/CD pipelines to test and retrain ML models.

Skills

Stakeholder comms

CI/CD leadership

Data engineering

Education

Advanced degree in AI/ML

Tools

Git

SQL

Spark/PySpark

Python

MLflow

Kubeflow

Kubernetes

Linux

Hadoop

Hive

Kafka

OpenShift

Job description

Balance Recruitment is seeking a Senior Machine Learning Ops Engineer for a government-connected agency. You will lead ML Ops strategy, collaborate with data scientists and engineers, and implement scalable AI/ML solutions affecting millions of Australians.

The role focuses on developing CI/CD pipelines, ensuring governance, and delivering robust ML deployments in a large, complex environment. Based in Australia with initial on-site work and subsequent hybrid flexibility.