Senior Machine Learning Infrastructure Engineer, Ads
Tasks
- Build scalable reliable ML pipelines
- Collaborate with data scientists and ML engineers
- Design ML platform architecture and roadmaps
- Develop feature engineering and model inference systems
- Ensure scalability reliability and cost effectiveness
- Lead ML infrastructure strategy and implementation
- Mentor junior engineers
- Operate monitoring alerting and incident response
- Optimize performance bottlenecks across ML stack
Perks/Benefits
Skills/Tech-stack
Alerting | Cloud Computing | Data Pipelines | Feature Engineering | Incident Response | Infrastructure Optimization | Machine Learning | Model Inference | Model Optimization | Model Training | Monitoring | Python
Education
Regions
Countries
States
Cities
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