Machine Learning Engineer - South Bank, QLD
Tasks
- Add observability to ML and GenAI systems
- Build MLops pipelines
- Deploy workloads to Kubernetes and cloud native environments
- Design and develop machine learning models
- Develop AI agent workflows and orchestration layers
- Implement LLMOps workflows
- Implement agent communication protocols
- Implement model monitoring and drift detection
- Optimize workloads for reliability latency and cost
- Productionize machine learning and LLM powered systems
Perks/Benefits
- Employee assistance program
- Employee discounts
- Health and wellness discounts
- Learning and development
- Paid parental leave
- Paid volunteer leave
- Travel discounts
Skills/Tech-stack
AI Agents | CI/CD | Cloud Computing | Context engineering | Cost Tracking | Databricks | Drift Detection | Evaluation | Guardrails | Kubernetes | LLMOps | Language Models | Large Language Models | Latency optimization | MLOps | Machine Learning | Model Monitoring | Observability | Python | RAG | Retraining | Retrieval-Augmented Generation
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