Site Reliability Engineer, Machine Learning Systems - Singapore
Tasks
- Develop monitoring and management tools for ML infrastructure and services
- Ensure ML systems operate efficiently for deployment, training, evaluation, inference
- Implement disaster recovery plans, cluster governance, and improve operational stability and efficiency
- Maintain stability of offline tasks/services across multi-data center, multi-region, multi-cloud
- Manage resources including computing and storage, plan capacity, control costs
- Provide on-call support for system and business issues
Perks/Benefits
- N/A
Skills/Tech-stack
Cloud Computing | Cluster governance | Coding | Disaster Recovery | Distributed Systems | Global Collaboration | Monitoring | Performance Analysis | Resource Management | Scalability | Server management | Storage Systems | System Stability
Education
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