Related skills
grpc aws python gcp tensorflow📋 Description
- AI/ML model ownership: design, train, fine-tune models.
- Data pipelines and feature engineering: build pipelines and feature stores.
- Production deployment: inference services in Go/Python; hybrid deployment.
- Observability and incident response: dashboards, alerts, runbooks.
- Scalability and leadership: scale to 10M+ transactions; mentor engineers.
🎯 Requirements
- Go: production-grade backend services
- Python: ML pipelines, model serving
- RESTful APIs and gRPC; distributed systems
- Cloud platforms: AWS or GCP; hybrid/on-prem
- PyTorch or TensorFlow; training & fine-tuning
- MLflow, Weights & Biases; feature stores; monitoring
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