SO MLOps Integration Engineer, GMET
Central Region (City Area), Singapore
SGD 67K-78K (estimate) Entry-level Full Time
Tasks
- Automate testing for ML models
- Build MLOps pipelines for training and deployment
- Deploy machine learning models
- Document MLOps processes and architectures
- Ensure ML governance and security compliance
- Implement CI/CD for ML models
- Manage containerized ML infrastructure
- Monitor model performance and data drift
- Provision cloud infrastructure for ML workloads
- Research new MLOps tools and best practices
- Troubleshoot model deployment issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon SageMaker | Apache Kafka | Apache Spark | Azure | Azure DevOps | Azure Machine Learning | CI/CD | Cloud platform | Data Drift | Data drift monitoring | Docker | Drift monitoring | GitLab CI | Google Cloud | Google Cloud Platform | Jenkins | Kubeflow | Kubernetes | MLflow | Machine Learning | Model Monitoring | Python | SQL | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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