ML Ops Engineer (EMEA Remote)
Tasks
- Build and operate model serving infrastructure
- Design deployment pipelines with blue green and canary rollouts
- Design observability for inference performance and health
- Develop autoscaling and multi model serving systems
- Implement intelligent request routing
- Manage model registries and CI CD pipelines
- Optimize GPU utilization and memory efficiency
- Support full ML lifecycle from development to production
Perks/Benefits
Skills/Tech-stack
Auto Scaling | Blue-Green Deployment | Blue/green | CI/CD | CUDA | Canary Deployment | Distributed Systems | Docker | Experiment tracking | GPU scheduling | Grafana | Helm | Kubernetes | MLOps | MLflow | Model Registry | Network Throughput | Observability | Prometheus | Python | ROCm | TGI | Terraform | Triton | VLLM
Education
N/A
Roles
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