tebra
Senior Machine Learning Engineer
Preview — apply on company site for full detailsApply Now
At a Glance
- Location
- Remote
- Work Regime
- remote
- Experience
- 5+ years
- Posted
- 2026-02-20T16:40:54-05:00
Key Requirements
Required Skills
AWSAzureCI/CDDockerGCPKubernetesMachine LearningNLPPyTorchPythonTensorFlow
Domain Knowledge
- Automation
- Engineering
- Finance
- Healthcare
Benefits & Perks
Health Insurance
le pay and a robust benefits package, reflecting our commitment to your over
Requirements
5+ years
of professional software development experience including system design, large-scale services, and production-grade infrastructure.
3+ years
of hands-on experience in
machine learning engineering or applied AI
, with a strong record of deploying and maintaining models in production.
Responsibilities
As a
Senior Machine Learning Engineer
, you will
build, deploy, and optimize the machine learning services
that power the Tebra platform. You will be the primary builder of robust ML subsystems, translating high-level requirements into production-ready code.
This is a