Staff Machine Learning Engineer

This is a staff machine learning engineer role at Tebra.

• Design, build, and operate scalable ML pipelines for data ingestion, feature generation, model training, evaluation, deployment, and monitoring.
• Conduct in-depth data analysis and experimentation to identify new opportunities for model-driven efficiency.
• Collaborate cross-functionally with engineering, product, and data teams to integrate AI capabilities directly into Tebra’s platform.
• Experience with building or fine-tuning LLMs or generative models for structured business processes.
• Experience with retrieval-augmented pipelines or feedback-driven model retraining .
• Experience working with structured business or healthcare data is a plus.
• Proven ability to deploy and maintain ML models in production with CI/CD, monitoring, and alerting.
• Establish best practices for model governance, reproducibility, explainability, and observability within regulated healthcare environments.
• Lead and mentor engineers in applied ML methods, system design, and data-driven experimentation.