Machine Learning Engineer - Data Science
Tasks
- Build feature generation pipelines
- Deploy and monitor ML models
- Develop ML models for credit risk
- Develop ML models for fraud detection
- Integrate new data sources
- Optimize models for production scale
- Perform model performance improvements
- Preprocess data and extract features
- Write production code with testing and documentation
Perks/Benefits
- Co-working support
- Dental insurance
- Health insurance
- Home-office equipment
- Life insurance
- Professional development
- Vision insurance
- Wellness perks
Skills/Tech-stack
AWS | Data Pipelines | Data Preprocessing | Databricks | Docker | Feature Engineering | Flask | Machine Learning | Model Monitoring | Pandas | Peer review | Python | Scikit-learn | Testing
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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