Design, develop, and deploy AI/ML models using Python for real-world business and engineering use cases Build and maintain end-to-end ML pipelines including data ingestion, feature engineering, training, evaluation, and deployment Implement MLOps best practices for model versioning, CI/CD, monitoring, retraining, and governance Deploy ML models into production using cloud-native architectures (AWS / Azure / Google Cloud Platform) Work with large-scale structured and unstructured datasets Optimiz