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Data Driven Healthcare Innovator
2 weeks ago
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 the Job- 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.
- Collaborate closely with engineering to deliver intelligent features that seamlessly integrate into our healthcare platform.
- Manage production-grade ML deployments using modern cloud tools.
- You're a problem-solver who enjoys owning high-impact initiatives.
- You bring hands-on experience in building, evaluating, and deploying models and can comfortably communicate across technical and non-technical audiences.
- You're motivated by the opportunity to improve healthcare systems through smart, data-driven solutions.
- 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).
This role offers the opportunity to work on cutting-edge projects with a team of top-tier professionals. The successful candidate will be able to contribute significantly to the success of our RCM product, supporting billions in revenue processing each year.
