Ai 平台工程师
Tasks
- Build MLops pipelines
- Build scalable reusable platform services
- Deploy and release models
- Design model development pipelines
- Develop task orchestration workflows
- Document best practices and automate workflows
- Engineer Agent tooling and automation
- Implement observability for pipelines
- Integrate training and evaluation
- Manage parameters and artifacts
- Operate and scale Kubernetes based systems
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Argo Workflow | Containers | Data Pipelines | GPU scheduling | Go | Kubeflow | Kubernetes | MLOps | Machine Learning | Model Deployment | Model Evaluation | Observability | Python | Ray | Task Scheduling | Volcano | Workflow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Platform Engineer | Engineer | MLOps Engineer | Platform Engineer
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