The role - own production infrastructure and the ML platform for a US-based client:
- AWS: ECS, CloudFront, Load Balancers, production infrastructure
- Terraform (IaC) · Docker · Kubernetes (EKS)
- Go services in production
- Postgres + Redis performance tuning
- CI/CD pipeline build & maintenance
- Infrastructure security & firewall management
- Deploy, serve and monitor ML models in production (FastAPI/TorchServe/Triton or similar)
- Experiment tracking & model registry (MLflow, Weights & Biases, or DVC)
- ML pipeline orchestration (Kubeflow, Airflow, Argo Workflows)
- GPU scheduling on Kubernetes; training vs. inference resource isolation
- Model monitoring & drift detection (Prometheus/Grafana/OpenTelemetry)
- CI/CD adapted for models (retraining, canary/A-B rollout, versioning)
Nice to have: Python fluency, feature stores (Feast), SageMaker/Vertex AI, React
Compensation: $40-50K per Annum
- *How to Apply** Please send a direct message (DM) with:
- Your CV/Resume link
- Your current location/country