Key Responsibilities:
* Design and develop scalable data pipelines using Python, Airflow, and PySpark
* Implement and optimize MLOps infrastructure on AWS
* Build and maintain deployment pipelines for ML models using SageMaker and other AWS services
* Collaborate with data scientists and business stakeholders to implement machine learning solutions for fraud detection, risk assessment, and financial forecasting
* Ensure data quality, reliability, and security across all data engineering workloads