ML Ops Engineer
Zebra TechnologiesMahadevapura, BangalorePosted a month agoA free account shows the apply link for every role and matches you to the ones that fit your resume.
About the role
Zebra Technologies develops smart solutions for organizations and their employees. You will build and operate containerized cloud infrastructure, GPU scheduling, and runtimes for distributed edge AI workloads.
What you'll do
- Build containerized environments for distributed edge AI backends
- Maintain cloud infrastructure across AWS and OpenStack
- Manage GPU allocation, scheduling, and ML pipeline orchestration
- Establish resilient microservices with high availability and fault tolerance
- Improve platform reliability and deployment velocity
- Deploy platform-specific runtimes using Triton, TensorRT, QNN, or SNPE
Skills
Must have
- Kubernetes
- Docker
- AWS
- Openstack
- GPU resource scheduling
- ML pipeline orchestration
- Microservices
- High availability
- Fault tolerance
Tools
- Openshift
- Kubeflow
- Triton
- Tensorrt
- Qnn
- Snpe
Who it's for
- Education
- Engineering degree
- Degree
- computer science, software engineering, engineering
- Experience
- 6+ years
- Domain
- edge ai
About Zebra Technologies
Zebra Technologies has 19 open roles in Bangalore, at Zebra Bengaluru R&D Centre (Bagmane Solarium City). See every Zebra Technologies role.
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