Senior Production Engineer - Applied Machine Learning
San Jose, California, United States
USD 218K-480K Senior-level Full Time
Tasks
- Automate rollback and pre flight checks
- Build online inference serving systems
- Design disaster recovery plans
- Govern compute GPU CPU storage network resources
- Implement CI CD pipelines and canary releases
- Implement observability, monitoring, and alerting
- Maintain Kubernetes GPU cluster operations
- Manage production stability for machine learning training and inference pipelines
- Manage quotas cost attribution and performance tuning
- Orchestrate training scheduling and distributed training workflows
- Perform capacity forecasting and elastic auto scaling
- Run SLO SLA mechanisms and incident post mortems
- Set up on call fault diagnosis and auto healing
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Auto Scaling | Auto rollback | Auto-healing | CI/CD | Canary Releases | Capacity Planning | Cost attribution | Disaster Recovery | Distributed Training | Elastic scaling | Fault Diagnosis | GPU | Kubernetes | NoSQL | Observability | On-Call | Online Inference | Parameter Server | Performance Tuning | Quota Management | SLA | SLO
Education
N/A
Regions
Countries
States
Cities
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