ML Infra Engineer
Zürich, Zurich, Switzerland
CHF 92K-130K (estimate) Mid-level Full Time
Tasks
- Adopt new compute and tooling platforms
- Architect data platforms and pipelines
- Build CI and experiment tooling
- Build data lifecycle pipelines
- Build data storage processing and serving
- Build training infrastructure
- Compare cloud providers and GPU platforms
- Deploy GPU compute clusters
- Design job scheduling and orchestration
- Improve device utilization
- Maintain GPU compute clusters
- Optimize communication efficiency
- Optimize distributed training throughput
- Profile and tune distributed training performance
- Scale multi node GPU training
Perks/Benefits
Skills/Tech-stack
AWS | Ansible | CI | CI/CD | CUDA | Compute Clusters | DDP | Data Processing | Distributed Training | Distributed data | Distributed data processing | Experiment tracking | FSDP | GCP | GPU Compute | GPU Compute Clusters | Infrastructure as Code | Kubernetes | Lustre | MLflow | NCCL | Networking | Nsight | Object storage | Parallel filesystem | Parquet | PyTorch | Python | Ray | S3 | Slurm | Spark | Terraform | WebDataset | Weights and Biases | “as-code”
Education
N/A
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