International Brand | Established Data Team | Brisbane Based
Our client is a leading international enterprise with significant presence in Brisbane. This exciting opportunity is focused on solving complex problems with innovative machine learning solutions. As a MLOps Lead, you will design, develop, and deploy cutting edge models to power real world applications.
We are looking for a Brisbane based candidate who is looking to start ASAP!
Key Responsibilities:
- Deploy and manage machine learning models through MLOps pipelines.
- Use Azure tools like AKS, Azure ML, and Data Factory for automation and scaling.
- Collaborate with data scientists to prepare models for production.
- Monitor, optimise, and retrain models post-deployment.
- Build CI/CD pipelines for seamless ML workflows.
- Design and optimise data pipelines with data engineers.
- Ensure compliance with security and industry standards.
- Maintain detailed documentation of processes and workflows.
Skills & Experience:
- 3+ years’ experience in machine learning, MLOps, or related fields.
- Proven ability to deploy ML models at scale in production environments.
- Strong Python skills and experience with libraries like TensorFlow, PyTorch, and scikit-learn.
- Familiarity with CI/CD tools such as Azure DevOps, Jenkins, or GitHub Actions.
- Proficient in containerisation technologies like Docker and Kubernetes.
- Skilled in building data pipelines with Azure Data Factory and Apache Spark.
- Strong SQL expertise for data management and analysis.
About you:
The right person needs strong problem solving skills, a collaborative mindset, adaptability to rapidly evolving technology, and the ability to communicate complex concepts effectively in order to achieve outcomes.
You’ll need to be a go-getter and goal driven, you must thrive in a fast paced dynamic environment.
Does this sound like you?
Please apply here!
