Machine Learning Engineer - Fraud
Tasks
- Build feature generation pipelines
- Build model deployment and monitoring processes
- Develop machine learning models for fraud detection
- Implement manual and automated fraud decisioning infrastructure
- Integrate new data sources to improve model accuracy
- Monitor model performance in production
- Optimize and deploy machine learning models
- Process large datasets to extract features
- Write production code with testing and documentation
Perks/Benefits
- Catered lunches
- Co Working Perk
- Dental insurance
- Health insurance
- Home-office equipment
- Life insurance
- Paid vacation
- Professional development
- Vision insurance
- Wellness perks
Skills/Tech-stack
AWS | Data Preprocessing | Databricks | Docker | Feature Engineering | Flask | Graph Databases | LLMs | Machine Learning | Model Monitoring | Pandas | Python | Scikit-learn
Education
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