Design, build, and maintain scalable data pipelines for analytics and ML

Build, train, deploy, and operate machine-learning models in production

Monitor data quality, model performance, and drift

Work on feature engineering, dataset preparation, and model retraining flows

Build and operate end-to-end ML pipelines (training, validation, inference)

Troubleshoot and resolve production issues across data and ML workloads

Apply best practices for versioning, testing, CI/CD, and documentation

Work with technical and business stakeholders to design and deliver data solutions with real business impact