Senior Software Engineer, ML Infrastructure
Tasks
- Automate resource provisioning
- Build ML infrastructure platform
- Build data extraction and transformation pipelines
- Create unified ML platform abstraction for users
- Design workload orchestration
- Implement feature caching and storage
- Optimize hardware utilization
- Scale infrastructure as code pipelines
- Schedule distributed training workloads
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Beam | Apache Kafka | Apache Spark | Distributed Systems | ETL | Feast | Feature Store | Hopsworks | Infrastructure as Code | Kubernetes | Networking | Pulumi | Ray | Redis | Slurm | Storage | Terraform | “as-code”
Education
N/A
Roles
Regions
Countries
States
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