Data Engineer with AIML

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest, transform, and process large structured and unstructured datasets for analytics and AI/ML applications.
• Develop and optimize data solutions using Python, SQL, Spark/PySpark, cloud data platforms, data lakes, and data warehouses , ensuring high performance, reliability, and data quality.
• Collaborate with Data Scientists and ML Engineers to prepare training datasets, perform feature engineering, and operationalize Machine Learning and Generative AI/LLM models within enterprise applications.
• Build and support MLOps and AI/ML data pipelines , including model training, deployment, monitoring, versioning, and integration with cloud services and APIs.
• Work with cross-functional teams to design secure and scalable data architectures , implement data governance and quality controls, troubleshoot production issues, and continuously improve data and AI/ML platforms.

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