Machine Learning Engineer

• Design, build, and operate scalable ML pipelines for various stages of the ML lifecycle
• Own the end-to-end ML lifecycle, from data exploration to model validation
• Continuously monitor model performance and implement automated retraining pipelines
• Leverage advanced ML techniques to improve automation and predictions
• Conduct in-depth data analysis to identify new opportunities for efficiency
• Collaborate cross-functionally to integrate AI capabilities into Tebra’s platform
• Establish best practices for model governance in healthcare environments
• Lead and mentor engineers in applied ML methods and experimentation

Staff Machine Learning Engineer

AI Engineer

Staff Machine Learning Engineer – Infrastructure

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Staff AI Engineer