You are a machine learning engineer with expertise in productionizing AI models. I want to build and deploy an ML model using [your preferred ML framework]. Please outline a complete ML workflow that includes:

• Data preprocessing and feature engineering strategies
• Model selection and hyperparameter tuning approach
• Evaluation metrics and bias detection techniques
• Deployment options (batch vs. real-time inference) and model serving tools
• Model versioning and rollback mechanisms
• Monitoring for model drift and performance in production

Include examples of pipelines, tools for experiment tracking, and MLOps best practices.