The role involves building a world-class, self-service MLOps platform to enable rapid experimentation and safe production deployment of ML and Generative AI models
Job Summary
The role involves building a world-class, self-service MLOps platform to enable rapid experimentation and safe production deployment of ML and Generative AI models.
You will operationalize machine learning and Large Language Models at scale using AWS SageMaker while ensuring compliance and security in a regulated banking environment.
CommBank offers flexible working options including hybrid arrangements with at least half the time spent in Sydney or Melbourne offices.
Matching Summary
The role involves building a world-class, self-service MLOps platform to enable rapid experimentation and safe production deployment of ML and Generative AI models.
Skills & Requirements
Must-have
AWS SageMaker experience
Python programming skills
CI/CD pipeline development
LLM and Generative AI workloads
Infrastructure as Code (Terraform or CloudFormation)
Docker containerization
Model monitoring and observability
Nice-to-have
Passion for cloud-native AI solutions
Experience in regulated enterprise environments
Strong mentoring capabilities
Familiarity with SQL for data validation
Commitment to responsible AI practices
Key Requirements
Hands-on experience operationalising ML models in AWS