MLOps工程师 - 模型部署
Tasks
- Apply model distillation
- Apply model pruning
- Apply model quantization
- Automate data preprocessing
- Automate feature engineering
- Automate model inference
- Build CI/CD pipeline
- Build scalable production systems
- Collaborate with research teams
- Deploy machine learning models
- Implement training to deployment automation
- Monitor model performance
- Operate model services
- Optimize inference performance
- Schedule CPU GPU resources
- Track business metrics
- Track data drift
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Airflow | Azure | B testing | CI/CD | Canary Deployment | Celery | DVC | Docker | FastAPI | Flask | GCP | Git | Gray Release | Kubeflow | Kubernetes | Linux | MLflow | Model versioning | NVIDIA TensorRT | NumPy | ONNX Runtime | Pandas | Python | Shell Scripting
Education
N/A
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