AI Data Engineer for Scalable Clinical Pipelines
Summary
Designs and maintains scalable data pipelines for clinical and sensor data, integrating ML/NLP/LLM workflows with Spark, Beam, and Airflow on AWS to support healthcare analytics.
InnoCellence is seeking an AI Data Engineer to design, build, and maintain robust data pipelines for clinical study and sensor data. You will collaborate with data scientists and software engineers to ensure reliable data flow from source systems to analytics platforms.
The ideal candidate has 5+ years in ML/NLP/LLM, and hands-on experience with Spark, Beam, Airflow, and cloud platforms like AWS. You will contribute to scalable, data-driven healthcare solutions in a dynamic team.