Senior Machine Learning Integration Engineer

Job ID
Employment Type
Full Time
Hours Per Week


The Senior Machine Learning Integration Engineer is a part of a high-energy team that is responsible for the design and development of new features and tools to support the growth and development of our Patient-to-Payment technology suite. This role is responsible for using software development practices and patterns to research, design, implement, and support enterprise-level machine learning solutions. The Senior Machine Learning Integration Engineer enjoys the opportunity for flexibility of responsibility, schedule and location.


  • Develop new features and the maintenance and enhancements of existing functionality.
  • Work within and maintain an extensible and performant system architecture.
  • Maintain a broad knowledge of emergent trends in software development platforms, tools, methodologies and their underlying principles.
  • Engage in code reviews, unit test coverage and continuous improvement.
  • Build tools to support automation and productivity.
  • Communicate effectively with team members and project leadership to identify needs and evaluate alternative business solutions.
  • Ensure unit tests written for all new code.
  • Seek opportunities to incorporate new technologies into the product’s technology stack when they can add value.
  • Work directly with support organizations to resolve production issues.
  • Provide application support by analyzing defects, replicating/fixing defects and providing root cause analysis for defects.
  • Troubleshoot and resolve functional and performance related issues.
  • Seek development opportunities above and beyond required training.
  • Possess a demonstrated ability to work with team members, onsite as well as remote.
  • Serve as mentor for junior developers in the hard and soft skills required for success.
  • Participate in delivering team commitments, dev, QA, documentation, etc.
  • Provide constructive feedback to team members and management on performance and process.


  • High school diploma or GED.
  • 4+ years of experience designing and implementing data pipelines for analytics.
  • 4+ years of experience developing machine learning solutions.
  • 3+ years of experience with Python.
  • 3+ years of experience with using SQL Server for database design, development & optimization.
  • 2+ years of experience with cloud-based computing frameworks.
  • Experience developing test-driven software in an Agile (SCRUM) environment.
  • Experience using written and verbal communication to gather data from internal business partners.
  • Demonstrated ability using Python APIs.
  • Demonstrated ability using C#, ASP.Net.
  • Experience using Java.
  • Experience using Web services.

Preferred Skills

  • Bachelor’s degree.
  • Knowledge of healthcare revenue cycle domains and IT integrations.
  • Experience with Azure ML Services.
  • Experience using ASP.Net MVC 2.0/3.0.
  • Scalable solutions implementation and deployment.
  • Automated testing & continuous integration.
  • Experience with messaging protocols.
  • Experience with unit testing frameworks.


About nThrive

Be Inspired. Ignite Change. Transform Health Care. 

From Patient-to-PaymentSM, nThrive provides all the technology, advisory expertise, services, analytics and education programs health care organizations need to thrive in the communities they serve. Our colleagues share a united passion to help health care organizations strengthen their financial position, which translates to accessible, quality care for all. This passion fuels our drive to innovate and participate in community outreach through the nThrive CARES program. Our colleagues are encouraged to think differently and empowered to make a lasting impact that ensures our health care providers, and our world, are healthy and productive.


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