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Grab
Principal Machine Learning Engineer
Singapore, SGPosted 1 month agofulltime
What you'd do
- Architect end-to-end ML solutions with data scientists across the company
- Drive throughput,reliability,and cost of large-scale training on the platform
- Design integrations across model serving,ML pipelines,data serving,and AI infra
What they want
- At least 8 years with Kubernetes,containerization,and GPU or TPU clusters
- Expert with ML lifecycle platforms such as Kubeflow,MLflow,Triton,TorchServe
- Distributed training experience with PyTorch,Ray,or Horovod
Seoulstart's read
- Work authorization
- Not stated, verify with recruiter
- Language beyond English
- No language beyond English stated
This is Seoulstart's analysis of the public job description, not the employer's stated policy. Verify work-pass eligibility, language requirements, and remote allowances directly with the recruiter.
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