About the Project

We are building an AI-powered healthcare claims intelligence platform for a leading healthcare payer organization. The objective is to identify suspicious coding patterns, prevent AI-driven over-coding, and enable real-time claim risk detection before adjudication.

The platform will leverage cloud-native data engineering, machine learning operations, and advanced analytics to help automate decision-making and reduce claim leakage.

Key Responsibilities

• Design and develop scalable data pipelines on AWS.
• Build and optimize data workflows using Databricks.
• Develop and manage enterprise data models in Snowflake.
• Implement and maintain ML lifecycle management using MLflow.
• Support real-time and batch data processing workloads.
• Collaborate with data scientists and business stakeholders to operationalize machine learning models.
• Ensure data quality, governance, security, a...