SRE Plattform Engineer mit MLOps
Primary stack
Machine LearningAIKubernetesCI/CDTriton Inference ServerCloud MonitoringCloud Logging
Job description
About the Position
We are seeking an SRE Plattform Engineer with MLOps expertise to design and operate scalable ML/AI services on our cloud-native infrastructure.
Responsibilities
- The project focuses on designing, building, and operating a scalable internal platform for Machine Learning and AI services.
- The goal is to enable reliable training, deployment, and inference of ML/AI models on our own cloud-native infrastructure.
Requirements
- Strong hands-on experience with Machine Learning and AI workloads
- Extensive practical experience running ML/AI workloads on Kubernetes (production-grade)
- Solid MLOps expertise, including:
- Model lifecycle management
- CI/CD for ML models
- Monitoring, logging, and reproducibility
- Experience with ML and AI inference systems, focusing on scalability and low latency
- Excellent knowledge of Kubernetes-based infrastructure for ML (GPU scheduling, scaling, reliability)
- Experience with NVIDIA Triton Inference Server (strong plus / highly preferred)
- Ability to design, build, and operate self-managed ML/AI infrastructure
We Offer
- Opportunity to work with a very renowned company
About the Company
The Workly s.r.o.
4D CENTER, Kodaňská 1441/46,
101 00, Praha 10.
Contact:
[email protected]
- 420 775 371 991
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