Senior Machine Learning Infrastructure Engineer
Tasks
- Build and operate scalable model serving pipelines
- Design build and maintain ML real time serving infrastructure
- Improve observability performance and cost efficiency
- Make architecture decisions for feature serving model versioning and inference optimization
- Productionize manage and deploy machine learning models
Perks/Benefits
- Commute subsidy
- Employee resource groups
- Employee stock ownership
- Generous vacation and personal days
- Global employee assistance program
- Mental health and wellbeing programs
- Office Food Snacks
- Retirement pension plans
- Support for new parents through leave and family care programs
- Training and development programs
- Volunteering and donation matching program
Skills/Tech-stack
API Design | Caching | Distributed Systems | Feature Store | Feature serving | Golang | Grafana | Kubernetes | Low Latency | Low-Latency Systems | Machine Learning | Model Serving | NVIDIA Triton | Offline Feature Serving | Online Offline Feature Serving | OpenTelemetry | Prometheus | Python | Ray Serve | Terraform | Torchserve
Education
N/A
Regions
Countries
States
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