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.