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The Solution Adoption Consultant acts as the primary client liaison, ensuring successful revenue cycle implementations, managing deliverables, and fostering client relationships for high satisfaction.

Design and develop methods for analyzing big data to generate insights for healthcare applications, using statistical methods and machine learning. Collaborate across teams to improve predictive modeling and data utility.

The Software Engineer II designs, develops, and tests applications, resolves technical issues, and collaborates with teams to improve production processes and solutions.

As a Senior ML Engineer, you will develop ML pipelines, work with language models, and build agentic AI systems while implementing MLOps practices.

As a Data Scientist, you'll solve healthcare challenges using machine learning and predictive modeling while collaborating with various teams to enhance operational outcomes.