Senior Machine Learning Engineer – Healthcare Revenue Cycle Management

Senior Machine Learning Engineer – Healthcare Revenue Cycle Management (RCM) Location: Hybrid- Chennai, India -1 day a week onsite Duration-FullTime About BigRio: BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals. About Job We are looking for a Machine Learning Engineer to join RCM (Revenue Cycle Management) products – managing claims, billing and payment processes for healthcare practices. You will work with the team to develop and deploy machine learning models to automate and optimize RCM processes. This role focuses on developing customized models and innovative solutions which can integrate into enterprise applications, ensuring high reliability, security and scalability by following best practices. About you: You love to own important work and find it difficult to turn down a good challenge. You are excited about the latest developments in ML and stay up to date on the latest methods and technologies. You have experience building and evaluating ML models. You have strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare. About the Team Our RCM product is central to the platform, supporting billions in revenue processing each year. The Data Science team is bringing machine learning to bear against the hardest problem in revenue cycle management in healthcare. We are working with other engineering leaders in the client's product to build machine learning into our Best in KLAS suite of products to drive innovation and increase automation. Also, this team is responsible for deploying state-of-the-art machine learning models using cloud technologies. Job Responsibilities As a member of the Data Science team, you are expected to work on projects within scrum teams of 2-4 people and execute the following: - Identify opportunities for different machine learning techniques and evaluate which are best - Assist in developing and deploying ML-based production services to our clients - Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; and hold other team members accountable for doing so - Apply rigorous testing of statistics, models, and code - Contribute to the development of internal tools and AI team standards Typical Qualifications: - Bachelors or Masters in relevant field: Math, Computer Science, Data Science, Statistics, or related field - 4-8 years of professional hands-on experience in developing, evaluating & deploying machine learning models - Experience with Python, SQL , Unix - Experience with development and implementation of Deep Learning Models with complex neural network architectures is a bonus - Experience with training & fine tuning LLMs & GenAI models is a bonus. - Familiarity with NLP or computer vision techniques - Experience using the AWS ecosystem a bonus, including Kubernetes, Kubeflow or EKS experience - Excellent verbal communication and writing skills Equal Opportunity Statement BigRio is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.