
The software engineer will build, deploy, and maintain machine learning models while designing new applications that leverage AI technology. They will also be responsible for improving machine learning infrastructure and automating existing business processes.
Candidates must hold a 4-year degree in computer science or an equivalent field and possess at least one year of experience in machine learning, NLP, or deep learning. Proficiency in a modern object-oriented programming language and experience with LLMs and RAGs are required.
Smart Data Solutions, a leading provider of data management, claim routing and workflow solutions to health plans and TPAs, is looking for a Software Engineer I, Machine Learning to join our team!
What you’ll be doing?
What we’re looking for?
Why this is the company for you?
Top Benefits & Perks:
Who is Smart Data Solutions?
Smart Data Solutions (SDS) is a technology leader in healthcare process automation and interoperability. As a strategic partner, SDS helps clients digitally transform their operations, delivering tangible value through reduced costs, streamlined workflows, and an improved customer experience. With data, AI, and automation at its core, SDS provides solutions in Digital Mailroom and Data Capture, Clearinghouse, Intelligent Medical Records, Prior Authorization and Claim Operations. Trusted by over 500 clients—including multiple Blue Cross Blue Shield plans, regional health plans, TPAs, providers, and healthcare partners—SDS streamlines complex front, middle, and back-office operations.
Smart Data Solutions is an equal opportunity employer
All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.
Smart Data Solutions enhances healthcare efficiency through customized, technology-driven claims processing, serving over 300 clients to improve accuracy, reduce costs, and streamline operations.