Backend Engineer, Applied Machine Learning Platform
Tasks
- Build scalable distributed computing processes
- Collaborate with data scientists on tooling
- Deploy machine learning models
- Design machine learning platform functions
- Develop data processing pipelines
- Evaluate emerging technologies for platform improvements
- Monitor platform operations
- Perform feature engineering
- Provide technical support for machine learning teams
- Train machine learning models
- Troubleshoot platform-related issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | C++ | Containerization | Data Processing | Distributed Computing | Docker | Feature Engineering | Hadoop | Java | Large Scale Data | Large-scale | Large-scale Data Processing | Model Deployment | Model Training | Python | Spark
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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