MLOps工程师 - 模型部署
Tasks
- Apply model quantization pruning distillation
- Automate data preprocessing feature engineering and inference
- Build CI CD pipeline for training to deployment
- Deploy machine learning models
- Deploy scalable production ML systems
- Detect data drift
- Ensure low-latency model serving
- Ensure model service availability
- Implement model monitoring
- Optimize model inference performance
- Orchestrate GPU CPU resource scheduling
- Track business metrics
- Track model performance
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Airflow | Azure | B testing | Celery | DVC | Docker | FastAPI | Flask | GCP | Git | Gray Deployment | Kubeflow | Kubernetes | Linux | MLflow | Model versioning | NumPy | ONNX Runtime | Pandas | Python | Shell | TensorRT
Education
N/A
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