Senior Software Engineer-Compromise & Fraud Prevention
Tasks
- Build and deploy machine learning models in production
- Deliver fraud detection and blocking features
- Design and analyze experiments with statistical tests
- Design and develop distributed software services
- Develop and debug data driven automation for LiveSite
- Drive modern software engineering practices
- Implement modular secure reliable monitored reusable services
- Improve test coverage with integration testing
- Perform system design across multiple components
- Troubleshoot and optimize reliability and monitoring
- Write scripts for data processing and analytics
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Azure | C# | C++ | CI/CD | Clustering | Continuous Delivery | Cross-validation | Data leakage | Data leakage detection | Delta Lake | Distributed Systems | Docker | Forecasting | Hadoop | Integration Testing | Java | JavaScript | KQL | Language Processing | Leakage detection | Logging | MLflow | Machine Learning | Monitoring | Natural Language | Natural Language Processing | Python | R | REST API | Regression | Regularization | SaaS | Statistical Analysis | T-SQL | U-SQL
Education
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