Senior Machine Learning Engineer Healthcare Revenue Cycle Management (RCM)

Role Overview: As a Senior Machine Learning Engineer in Healthcare Revenue Cycle Management (RCM) at BigRio, you will work on cutting-edge projects with a team of top-tier professionals. BigRio is a remote-based technology consulting firm specializing in delivering advanced software solutions like custom development, cloud data platforms, AI/ML integrations, and data analytics. You are a problem-solver who enjoys owning high-impact initiatives and is excited about innovation in machine learning. Your ability to communicate across technical and non-technical audiences and your motivation to improve healthcare systems through data-driven solutions are crucial. Key Responsibilities: - Identify opportunities to apply machine learning to RCM workflows. - Design, develop, and deploy ML-based production services. - Adhere to and advocate for best practices in model development and engineering. - Conduct rigorous testing and validation of models and code. - Contribute to the development of internal tools and team standards. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. - 3-5 years of hands-on experience building, evaluating, and deploying ML models. - Strong programming skills in Python, with proficiency in SQL and Unix environments. - Experience with deep learning and neural network architectures (preferred). - Familiarity with training and fine-tuning LLMs or generative AI models (bonus). - Exposure to NLP or computer vision is a plus. - Experience with AWS and tools such as Kubernetes, Kubeflow, or EKS is a bonus. - Excellent communication skills, both written and verbal.,