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.