Saviance
Senior Machine Learning Engineer - Healthcare Revenue Cycle Manag...
Saviance - Boston, Massachusetts, us, 02298
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Overview
Senior Machine Learning Engineer - Healthcare Revenue Cycle Management (RCM)
Location: Hybrid- Chennai, India (Every Thursday Onsite)
Duration: Full Time
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 seeking a
Senior Machine Learning Engineer
to join our team, focused on
Revenue
Cycle Management (RCM) , which streamlines claims, billing, and payment processes for healthcare providers. In this role, you'll develop and deploy machine learning models that enhance and automate core RCM workflows. Your work will directly support enterprise-scale applications, with an emphasis on security, scalability, and maintainability through best practices.
About You
You're a problem-solver who enjoys owning high-impact initiatives. You're excited about innovation in machine learning and stay current with evolving technologies. You bring hands-on experience in building, evaluating, and deploying models and can comfortably communicate across technical and non-technical audiences. Most importantly, you're motivated by the opportunity to improve healthcare systems through smart, data-driven solutions.
About the Team
Our RCM product is central to the platform, supporting billions in revenue processing each year. The Data Science team works on challenging problems in automation and optimization using advanced ML techniques. We collaborate closely with engineering to deliver intelligent features that seamlessly integrate into our healthcare platform. The team also manages 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.
Location: Hybrid- Chennai, India (Every Thursday Onsite)
Duration: Full Time
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 seeking a
Senior Machine Learning Engineer
to join our team, focused on
Revenue
Cycle Management (RCM) , which streamlines claims, billing, and payment processes for healthcare providers. In this role, you'll develop and deploy machine learning models that enhance and automate core RCM workflows. Your work will directly support enterprise-scale applications, with an emphasis on security, scalability, and maintainability through best practices.
About You
You're a problem-solver who enjoys owning high-impact initiatives. You're excited about innovation in machine learning and stay current with evolving technologies. You bring hands-on experience in building, evaluating, and deploying models and can comfortably communicate across technical and non-technical audiences. Most importantly, you're motivated by the opportunity to improve healthcare systems through smart, data-driven solutions.
About the Team
Our RCM product is central to the platform, supporting billions in revenue processing each year. The Data Science team works on challenging problems in automation and optimization using advanced ML techniques. We collaborate closely with engineering to deliver intelligent features that seamlessly integrate into our healthcare platform. The team also manages 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.