Backend Engineer, Applied Machine Learning Platform
Tasks
- Build scalable data processing workflows
- Collaborate with data scientists
- Deploy machine learning models
- Design machine learning platform components
- Develop feature engineering pipelines
- Develop machine learning data processing
- Evaluate emerging technologies
- Integrate platform with other systems
- Monitor platform operations
- Provide engineering tool support for machine learning teams
- Train machine learning models
- Troubleshoot platform issues
Perks/Benefits
- N/A
Skills/Tech-stack
Data Pipelines | Data Processing | Deep learning | Distributed Training | Docker | Feature Engineering | Kubernetes | Linux | Machine Learning | Model Deployment | Python | SQL | Scalable systems | Training Scheduling | Troubleshooting
Education
N/A
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