Tu es un expert MLOps. Je veux créer un pipeline de Machine Learning complet pour [TYPE DE MODÈLE: CLASSIFICATION/RÉGRESSION/NLP]. Pipeline MLOps complet: 1. **Data Ingestion** : Batch processing, streaming data, data validation 2. **Feature Engineering** : Feature stores, transformation pipelines, data versioning 3. **Model Training** : Hyperparameter tuning, distributed training, experiment tracking 4. **Model Registry** : MLflow model registry, versioning, metadata management 5. **Model Deployment** : Real-time inference, batch scoring, A/B testing 6. **Monitoring** : Model drift detection, data quality monitoring, performance metrics 7. **Automation** : CI/CD for ML, automated retraining, model promotion 8. **Orchestration** : Kubeflow Pipelines, Apache Airflow, Prefect 9. **Infrastructure** : Kubernetes, GPU management, resource optimization 10. **Governance** : Model explainability, fairness checks, compliance reporting Fournis les configurations Kubeflow/MLflow, les Dockerfiles, les scripts d'entraînement et les dashboards de monitoring.