Senior MLOps / AI Infrastructure Engineer - iGaming - Remote
Tasks
- Build machine learning infrastructure for distributed training
- Design containerized model serving
- Develop machine learning CI CD pipelines
- Implement experiment tracking
- Implement observability and alerting
- Manage Kubernetes cluster resources
- Monitor model performance and drift
- Optimize cloud compute usage
- Productionize ML models with cross functional teams
- Scale hyperparameter tuning workflows
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | CI/CD | Cloud platform | Distributed Systems | Docker | GCP | Go | Google Cloud | Google Cloud Platform | Kubeflow | Kubernetes | MLflow | Observability | PyTorch | Python | Ray | Resource orchestration | Rust | TensorFlow
Education
N/A
Regions
Countries
States
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