
Machine Learning Engineer
3 weeks ago
Machine Learning Engineer
Permanent Hybrid (Sydney-based) Up to $190K + Super
We're on the lookout for a talented Machine Learning Engineer who thrives in complex environments and knows how to scale models that make a real impact. This is a permanent role with a hybrid working setup, offering the chance to work on cutting-edge projects with a team that values innovation and technical excellence.
What You'll Be Doing
- Design, build, and deploy large-scale machine learning models across diverse and high-volume data environments
- Optimise model performance and scalability for production-grade systems
- Collaborate with data scientists, engineers, and product teams to translate business needs into ML solutions
- Implement best practices in model versioning, testing, and monitoring
- Contribute to the architecture and evolution of our ML infrastructure
What You Bring
- Strong experience building and scaling machine learning models in complex, enterprise-level environments
- Solid coding skills in Python, with deep knowledge of ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Familiarity with MLOps, containerisation (Docker), and cloud platforms (Azure preferred)
- Experience with feature engineering, model tuning, and deployment pipelines
- A collaborative mindset and the ability to communicate technical concepts clearly
Why You'll Love It Here
- Competitive salary up to $190K + Super
- Hybrid working model with flexibility and autonomy
- Work on high-impact projects with real-world applications
- Supportive, forward-thinking team culture
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