Knowtion Health · 8 hours ago
Machine Learning Engineer
United States
Full-time
Remote
New Grad, Entry Level
0+ years expKnowtion Health is seeking a Machine Learning Engineer to develop and enhance existing machine learning models and data solutions. The role involves utilizing programming languages and tools such as Python, .NET, SAS, SQL Server, and Crystal Reports to deliver effective data solutions.
Financial ServicesHealth CareInsurancePayments
Responsibilities
Develop and enhance existing machine learning models
Develop and enhance existing data solutions using Python, .NET, SAS, SQL Server, and Crystal Reports
Qualification
Required
Master of Science in Data Science
6 months of experience in developing and enhancing existing machine learning models and data solutions using Python
6 months of experience in developing and enhancing existing machine learning models and data solutions using .NET
6 months of experience in developing and enhancing existing machine learning models and data solutions using SAS
6 months of experience in developing and enhancing existing machine learning models and data solutions using SQL Server
6 months of experience in developing and enhancing existing machine learning models and data solutions using Crystal Reports
Company
Knowtion Health
Knowtion Health is a healthcare system that offers revenue cycle management services.
501-1000 employees
H1B Sponsorship
Knowtion Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (2)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Sunstone Partners
2024-08-22Acquired
2020-09-09Private Equity
Leadership Team
Jayson Yardley
Chief Executive Officer
Recent News
2025-10-15
2025-08-29
Company data provided by crunchbase