Senior Software Engineer - MLOps
Eveleigh, NSW - 1 Locomotive Street, Australia
AUD 130K-150K (estimate) Senior-level Full Time
Tasks
- Automate ML development release and operational processes
- Collaborate with data scientists and engineers to build scalable ML pipelines
- Design build and maintain end to end MLOps pipelines for training testing deployment and monitoring
- Develop and maintain CI CD pipelines for ML workflows and platform components
- Ensure security adherence and compliance including data privacy and model explainability
- Implement monitoring and observability for models and pipelines including data drift model performance and system health
- Improve platform reliability security cost and performance
- Maintain documentation for MLOps processes infrastructure and configurations
- Mentor other engineers and provide technical assistance
- Operationalise models using Amazon SageMaker including training jobs model registry batch inference and real time endpoints
- Provide production support and technical troubleshooting for ML platforms and services
- Support LLM and generative AI workloads including fine tuning inference optimization and deployment
Perks/Benefits
- Flexible start and finish times
- Flexible work arrangements
- Hybrid work with office attendance half time monthly
- Job-sharing
- Part-time options
Skills/Tech-stack
AWS KMS | AWS Secrets | AWS Secrets Manager | Amazon Aurora | Amazon CloudWatch | Amazon ECR | Amazon ECS | Amazon S3 | Amazon SageMaker | Amazon Web Services | Artifactory | CI/CD | CloudFormation | Cost Optimization | Data Drift | DevOps | Docker | Generative AI | Git | GitHub Actions | Infrastructure as Code | Jenkins | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Model Monitoring | Model Performance Monitoring | Model performance | Octopus Deploy | Performance Monitoring | Performance optimization | Python | Reliability | SQL | Secrets Manager | Security | TeamCity | Terraform | Web Services | “as-code”
Education
N/A
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