Data Engineer ( AI/ML )

• Design, develop, and maintain scalable data pipelines and cloud-based data platforms supporting AI and ML workloads.
• Build, deploy, and optimize machine learning models and AI solutions for enterprise-scale applications.
• Develop robust data processing and feature engineering solutions using Python, SQL, and PySpark.
• Support end-to-end ML lifecycle management, including model deployment, monitoring, automation, and governance.
• Implement and maintain CI/CD pipelines for data and machine learning applications.
• Collaborate with data scientists, engineers, and business stakeholders to operationalize AI/ML solutions.
• Ensure data quality, scalability, reliability, and performance across data and ML platforms.