ML Infrastructure Engineer
Tasks
- Design and develop ML infrastructure
- Develop cloud data infrastructure
- Implement model deployment methods
- Improve model transition processes
- Manage data pipelines and storage
- Mentor or manage engineers
- Own and deliver projects
- Participate in model design and research
Perks/Benefits
- N/A
Skills/Tech-stack
Cloud Computing | Data Engineering | Data Management | Databricks | Dataproc | Distributed Systems | Kubernetes | ML deployment | ML pipelines | Machine Learning | Model Optimization | NodeJs | Python | Spark | Terraform | Workflow Orchestration
Education
N/A
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