Skills : AWS, Kubernetes, Python, PyTorch,
Owns the compute infrastructure that trains and serves AI models — GPU cluster management, distributed training pipelines, and inference serving at scale. A natural pivot for DevOps/backend infra engineers.
Job Description:
Owns the compute infrastructure that trains and serves AI models — GPU cluster management, distributed training pipelines, and inference serving at scale. A natural pivot for DevOps/backend infra engineers.
Key Skills:
- Distributed systems, GPU cluster orchestration (Slurm, Kubernetes, Ray)
- Cloud infrastructure (AWS/GCP/Azure), networking, storage at scale
- Training frameworks (PyTorch Distributed, DeepSpeed, Megatron)
- Infra-as-code (Terraform), monitoring/observability tooling
- Cost and utilization optimization for large compute clusters
Experience Required:
- 4–8+ years in infrastructure/platform/DevOps engineering
- Direct large-scale distributed systems experience; ML-specific infra experience is a plus but not always required