Machine Learning & Cloud Infra Engineer
Tasks
- Automate training data and infrastructure workflows
- Build and optimize storage and data throughput
- Define SLOs and handle incidents
- Design and operate GPU clusters
- Enable distributed training performance
- Implement monitoring, logging, and alerting
- Maintain infrastructure as code and release processes
- Manage secrets IAM and secure network boundaries
- Own and evolve ML cloud infrastructure
- Package and deploy workloads with containers and orchestration
- Support model evaluation and model serving
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Bash | CI/CD | CUDA | Caching | CircleCI | Cloud Computing | DDP | Distributed Training | Docker | ELK | FSDP | GCP | GPU Computing | GitHub Actions | Grafana | IAM | Kubernetes | Machine Learning | Monitoring | NCCL | NVMe | Networking | Object storage | OpenTelemetry | Profiling | Prometheus | PyTorch | Python | Shared Filesystems | Terraform
Education
N/A
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