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1.0 - 5.0 years

0 Lacs

haryana

On-site

As an MLOps Engineer at Neolytix, you will play a crucial role in building, deploying, and maintaining AI/ML systems for our healthcare Revenue Cycle Management (RCM) platform. Your primary focus will be on operationalizing machine learning models that analyze claims, prioritize denials, and optimize revenue recovery through automated resolution pathways. You will be working with a key tech stack that includes fine-tuned healthcare LLMs such as GPT-4 and Claude for complex claim analysis, domain-specific SLMs for denial code classification, and prediction, as well as NER models for extracting critical claim information. Your expertise in Python with OOP principles, developing APIs using frameworks like Flask or Fast API, and integration knowledge with front-end applications will be essential for this role. Your responsibilities will involve designing and implementing end-to-end ML pipelines for claims processing, deploying and orchestrating LLMs and SLMs in production using containerization and Azure cloud services, and implementing monitoring systems to track model performance and operational health metrics. You will also establish CI/CD pipelines specifically for ML model training, validation, and deployment, create data preprocessing pipelines for healthcare claims data, and optimize models for performance and cost-efficiency. To excel in this role, you should have experience operationalizing LLMs for domain-specific enterprise applications, a background in healthcare technology or revenue cycle operations, and a proven track record of improving model performance metrics in production systems. Neolytix offers a competitive salary and benefits package, an opportunity to contribute to innovative AI solutions in the healthcare industry, a dynamic and collaborative work environment, and opportunities for continuous learning and professional growth. If you are passionate about leveraging AI/ML technologies to revolutionize healthcare claims management, we encourage you to apply by submitting your resume and a cover letter detailing your relevant experience and interest in the role to vidya@neolytix.com.,

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