ML Infrastructure Engineer
Tasks
- Design and develop infrastructure
- Develop cloud data infrastructure
- Develop systems to improve model transition
- Evaluate and implement deployment methods
- Manage data pipelines
- Mentor team members
- Modify model training code
- Own and deliver projects end-to-end
- Participate in model design and research
Perks/Benefits
- N/A
Skills/Tech-stack
Cloud Computing | Cloud platform | Data Engineering | Databricks | Dataproc | Distributed Systems | Google Cloud | Google Cloud Platform | Jetson | Kubernetes | MLOps | Machine Learning | Machine Learning Infrastructure | NodeJs | ONNX | Python | ROS | SageMaker | Spark | TensorRT | Terraform | Vertex | Workflow Orchestration
Education
N/A
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