Data Engineer with AI/ML

Design, develop, and maintain scalable data pipelines and data processing frameworks.Build ETL/ELT solutions to ingest, transform and process structured and unstructured data.Develop high-performance data workflows using Python, Spark and distributed computing technologies.Implement data models, data lakes, warehouses and Lakehouse architecture.Develop and support data pipelines powering AI/ML models and analytics solutions.Partner with Data Scientists to produce machine learning models.Build feature engineering pipelines and reusable ML datasets.Implement MLOps practices, including model deployment, monitoring and lifecycle management.Skills/Requirement -Strong hands-on experience in Data Engineering.Hands-on experience building large-scale data pipelines.Strong programming experience with Python.Experience working with cloud-based data platforms.Exposure to AI/ML model lifecycle and MLOps practices.