Senior ML Engineer
Tasks
- Build ML infrastructure
- Collaborate on data science standards
- Contribute to delivery frameworks
- Design ML pipelines
- Ensure AI governance privacy and security compliance
- Implement explainability and human in the loop
- Maintain production ML systems
- Manage model versioning
- Monitor model drift
- Perform model lifecycle management
- Run A/B testing
- Train, evaluate, deploy, and monitor models
- Transform prototypes into production systems
Perks/Benefits
- Generous salary packaging
- Health and wellbeing incentives
- Novated leasing
- Onsite child care
- Staff gym access
Skills/Tech-stack
A/B | A/B Testing | Agentic AI | Azure | B testing | Cloud Computing | Data Engineering | Databricks | Drift monitoring | Explainable AI | Generative AI | Human-in-the-loop | LLM | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model versioning | Privacy Compliance | Scalable systems | Security Compliance | The Loop
Education
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