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 ML pipelines for large datasets and traffic
- Design build and maintain end to end MLOps pipelines for training testing deployment and monitoring
- Develop and maintain CI/CD pipelines for ML workflows
- Document MLOps processes and infrastructure configurations
- Implement monitoring and observability for models and pipelines
- Improve platform reliability security cost and performance
- Maintain security adherence and compliance standards including data privacy and model explainability
- Mentor and assist team members with minimal supervision
- Operationalize models with AWS SageMaker
- Provide production support and technical troubleshooting for ML platforms and services
- Support LLM and generative AI fine tuning inference optimization and deployment
Perks/Benefits
Skills/Tech-stack
AWS | Amazon SageMaker | Aurora DB | Batch inference | CI/CD | CloudFormation | CloudWatch | Compliance | Containerization | Data Drift | Docker | ECR | ECS | Generative AI | Git | GitHub Actions | Infrastructure as Code | Jenkins | KMS | Language Models | Large Language Models | Logging | Machine Learning | Model Explainability | Model Registry | Monitoring | Observability | Python | Real Time | Real-time endpoints | S3 | SQL | Secrets Manager | Security | Security groups | Terraform | “as-code”
Education
N/A
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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