MLOps Engineer

Act as an EL3 Databricks MLOps Engineer leading deployment workflows inside a specialized contract domain.
Engineer scalable machine learning solutions tailored specifically for the Claims Payment Integrity domain.
Develop, monitor, and refine production data processing routines utilizing enterprise Databricks workspaces.
Code, test, and package machine learning modules professionally adhering to standard automation rules.
Handle advanced data engineering tasks, billing data verification workflows, and structural file parsing.
Collaborate with product engineering and healthcare analytics business groups to implement robust algorithms.
Document architecture changes, pipeline performance updates, and environment configuration scripts accurately.

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Healthcare Informatics, or equivalent fields.
5-8 years of professional software development experience, specializing in Big Data or ML platform scaling.
Advanced, verifiable hands-on expertise working extensively with Databricks platforms and automated MLOps lifecycles.
Strong domain awareness or deep familiarity handling systems within the healthcare insurance or billing spaces.
Highly proficient coding skills combined with a thorough understanding of product engineering best practices.