Senior Machine Learning Engineer Healthcare Revenue Cycle Management (RCM)

As a Senior Machine Learning Engineer in Healthcare Revenue Cycle Management (RCM) at BigRio, you will have the opportunity to work on cutting-edge projects with a team of top-tier professionals. BigRio is a remote-based technology consulting firm that specializes in delivering advanced software solutions, including 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. You stay current with evolving technologies and bring hands-on experience in building, evaluating, and deploying models. Your ability to communicate comfortably across technical and non-technical audiences is crucial. Most importantly, you are motivated by the opportunity to improve healthcare systems through smart, data-driven solutions. The RCM product at BigRio is central to the platform, supporting billions in revenue processing each year. As part of the Data Science team, you will work on challenging problems in automation and optimization using advanced ML techniques. Collaboration with engineering is key to deliver intelligent features that seamlessly integrate into the healthcare platform. Additionally, you will be involved in managing production-grade ML deployments using modern cloud tools. 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. BigRio is an Equal Opportunity Employer committed to diversity and inclusion in the workplace.,