MLOps Engineer - Singapore
Only for registered members Singapore
1 month ago
* This salary range is an estimation made by beBee
Job summary
We're building AI systems for a global audience. This role is a global role with remote work arrangement. You'll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions
Responsibilities
- Run and manage open-source models efficiently, optimizing for cost and reliability
- Ensure high performance and stability across GPU, CPU, and memory resources
- Monitor and troubleshoot model inference to maintain low latency and high throughput
- Collaborate with engineers to implement scalable and reliable model serving solutions
Requirements
- Experience with model serving platforms such as vLLM or HuggingFace TGI
- Proficiency in GPU orchestration using tools like Kubernetes, Ray, Modal, RunPod, LambdaLabs
- Ability to monitor latency, costs, and scale systems efficiently with traffic demands
- Experience setting up inference endpoints for backend engineers
Job description
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