Middle Data Science Engineer
Tasks
- Collaborate on design reviews
- Create and maintain documentation
- Deploy machine learning systems
- Design data annotation pipelines
- Design data processing pipelines
- Develop machine learning models
- Ensure feature performance standards
- Ensure stable deployment
- Follow security guidelines
- Identify solution risks
- Maintain machine learning systems
- Monitor deployed solutions performance
- Perform data analysis
- Perform experiment design and validation
- Prepare and process data for ML workflows
- Promote reuse of internal technologies
- Resolve engineering issues
Perks/Benefits
- N/A
Skills/Tech-stack
Architecture Tools | Asynchronous systems | Batch Processing | Data Annotation | Data Processing | Data Validation | Deep learning | Design Patterns | Experiment design | MLOps | Machine Learning | Machine Learning Pipelines | Mathematics | Model Monitoring | Python | Security guidelines | Streaming Data
Education
N/A
Roles
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