Production Engineer - Applied Machine Learning
San Jose, California, United States
USD 156K-387K Entry-level Full Time
Tasks
- Build reliability mechanisms for SLO SLA observability and alerting
- Create automated inspections and pre flight checks
- Develop CI/CD canary releases and auto rollback
- Forecast capacity and manage elastic auto scaling
- Govern GPU CPU storage and network resources
- Handle fault diagnosis incident response and post mortems
- Implement auto healing disaster recovery and incident reviews
- Manage production stability for training and inference systems
- Manage quotas cost attribution and performance tuning
- Orchestrate AML pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Auto Scaling | Auto rollback | Auto-healing | CI/CD | Canary Releases | Capacity forecasting | Cost attribution | Disaster Recovery | Distributed Training | GPU | Incident Response | Inference Serving | Kubernetes | Model Inference | NoSQL | Observability | Online Inference | Online Inference Serving | Orchestration | Parameter Server | Performance Tuning | Postmortems | Quota Management | Resource Governance | SLA | SLO | Scheduling
Education
N/A
Regions
Countries
States
Cities
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