AI Engineer - South Bank, QLD
Tasks
- Build AI agent components
- Containerise and deploy AI workloads
- Deploy production AI systems
- Deploy to Kubernetes
- Design agentic AI workflows
- Develop AI pipelines with Azure Machine Learning
- Develop AI pipelines with Databricks
- Develop LLM-powered applications
- Implement MLOps and LLMOps pipelines
- Implement docker-based deployments
- Implement guardrails and responsible AI
- Implement logging monitoring and latency tracking
- Monitor models and automated evaluation
- Participate in code reviews
- Perform data governance for AI systems
- Set up CI CD and model registry
- Write Python for AI APIs and data processing
Perks/Benefits
- Employee assistance program
- Employee discounts
- Health and wellness discounts
- Internal gym access
- Learning and development budget
- Open source contributions support
- Paid parental leave
- Paid volunteer leave
- Travel discounts
Skills/Tech-stack
Azure DevOps | Azure Machine Learning | Bicep | CI/CD | Databricks | Deep learning | Docker | Git | Kubernetes | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | PySpark | Python | React | Terraform | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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