Machine Learning Engineer Medical Coding Automation

Be part of the innovation engine powering the future of medical coding. As a Machine Learning Engineer at OlleyaHealth, you will: Develop and deploy machine learning models for CPT and ICD prediction, audit risk scoring, and claims validation. Build and maintain data pipelines that support supervised and semi-supervised learning from clinical documentation, claims data, and EHR system outputs. Work closely with our coding and revenue cycle teams to align model outputs with audit and billing standards. Contribute to explainable AI (XAI) features, improving model transparency for coders, auditors, and compliance teams. Integrate and test models in production environments using Python, MLflow, FastAPI, and cloud-native tools (e.g., AWS SageMaker, Docker, Airflow). Qualifications: 3+ years of experience building and deploying ML/NLP models in production environments Proficiency in Python, scikit-learn, PyTorch or TensorFlow, and SQL Experience with LLMs, transformers, and RAG systems (e.g., OpenAI, LangChain, FAISS) Familiarity with U.S. healthcare billing or medical claims data strongly preferred Bachelor s or Master s degree in Computer Science, AI/ML, Data Science, or related field Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .