Machine Learning Ops Engineer (Brisbane)

Machine Learning Ops Engineer (Brisbane)

15 Oct
|
Solara Digital
|
Brisbane

15 Oct

Solara Digital

Brisbane

Solara Digital is looking for a Senior MLOps Engineer to work at a major Australian Government client for a 12 month contract. You'll help shape its machine learning operations, taking models from data science into reliable, well-governed production systems that support services used by millions of Australians.
The role
This is a senior (EL1-equivalent) role. You'll help set MLOps strategy and practice, and work hands-on with data scientists, engineers, product teams and business stakeholders. You'll:
Build automated CI/CD pipelines to test, deploy, monitor and retrain ML models
Plan and drive data engineering solutions that balance functional and non-functional requirements, including security and compliance
Productionise algorithms and models built by data scientists, and advise on which techniques work best
Lead release planning and risk assessment, with rollback processes and post-release reviews
Plan and drive testing across the ML lifecycle
Apply ethical AI practices and assess privacy risks
Contribute to standards, policies and guidelines for data engineering, testing and deployment
Explain solution designs clearly to product managers and business stakeholders
About you




3+ years in AI/ML engineering with a proven track record of putting models into production
A degree in computer science, statistics, mathematics or a related field, ideally with a focus on ML, AI or data science (advanced degree preferred)
Solid Python, SQL and Spark/PySpark
Experience with MLflow, Kubeflow or similar
Containerisation and Kubernetes (Red Hat OpenShift highly regarded)
Batch and streaming data pipelines, plus data lake technologies such as Hadoop, Hive, Impala and Kafka
Relational databases, distributed file systems and blob storage
Solid Linux and Git skills
Experience working at SFIA Level 5 in data engineering, release and deployment, and testing, and Level 4 in machine learning
The details
Location:
Brisbane, Melbourne or Sydney (CBD)
Arrangement:
Onsite for the first 6 weeks, then hybrid. You'll need to live within reasonable travel distance of the office.
Start:
1 December ****
Contract:
Initial 12 months, with extension options
Clearance:
You must be an Australian citizen and able to obtain and maintain a Baseline security clearance. Current clearance holders are highly regarded.
#J-*****-Ljbffr

📌 Machine Learning Ops Engineer (Brisbane)
🏢 Solara Digital
📍 Brisbane

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