Beschreibung
The role - own production infrastructure and the ML platform for a US-based client:
*DevOps / Platform*
* 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
*MLOps / ML Platform*
* 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:
1. Your CV/Resume link
2. Your current location/country
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