ML Infrastructure Engineer
Tasks
- Design and deploy ML training systems
- Develop cloud data infrastructure
- Improve model transition process
- Manage data pipelines and storage
- Mentor engineering team
- Optimize model deployment
- Participate in model design and research
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | Cloud Computing | Data Engineering | Databricks | Distributed Systems | Jetson | Kubernetes | ML Infrastructure | ONNX | Python | SageMaker | TensorRT | Terraform | Vertex
Education
N/A
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