Senior Machine Learning Engineer
Tebra(10 days ago)
About this role
Tebra is looking for a Senior Machine Learning Engineer to develop, optimize, and deploy machine learning services that power their platform. The role is hands-on, focusing on building robust ML subsystems, improving system efficiency, and translating requirements into production-ready code.
Required Skills
- Python
- TensorFlow
- PyTorch
- Scikit-Learn
- MLflow
- Kubernetes
- Docker
- Airflow
- Spark
- Data Infrastructure
Qualifications
- 5+ years of software development
- 3+ years in ML engineering
- Proficiency in Python, TensorFlow/PyTorch, scikit-learn
About Tebra
tebra.comTebra builds EHR and practice-management software for private practices. Its platform unifies clinical records, billing, scheduling, and reputation/patient‑communication tools into a single system to streamline operations. By combining workflow automation, revenue‑cycle features, and patient engagement capabilities, Tebra aims to reduce administrative burden and let clinicians focus on care. Practices use Tebra to improve efficiency, collections, and the patient experience.
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