ML Ops Engineer

About the role

Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.

What you'll do

• Design, build, and scale core ML infrastructure across heterogeneous compute (CPU/GPU), distributed storage, and networking resources
• Develop and maintain end-to-end CI/CD automation pipelines for continuous machine learning model training, evaluation, packaging, and edge/cloud deployment
• Implement comprehensive monitoring and alerting solutions to track real-time model performance, detect data/concept drift, and ensure sustained inference accuracy
• Automate the end-to-end model life cycle to streamline transitions from experimentation to high-availability production environments
• Drive operational maturity and system reliability to increase deployment velocity and support rapidly expanding AI/ML workloads

What you need

• 6–11 yrs of experience
• MLOps
• Machine learning
• CI/CD
• B.Tech or B.E. or B.Sc or BCA