Machine Learning Engineer
Tasks
- Build revenue and LTV forecasting models
- Deploy models to production
- Detect fraud using risk moderation behavioral models
- Develop time series and tabular boosting models
- Engineer features from behavioral and payment data
- Evaluate forecasts using MAPE WAPE RMSE
- Optimize marketing budget using predictive models
- Perform financial forecasting
- Run backtesting and time aware validation
Perks/Benefits
- Career growth
- Company meals
- Conference participation
- Flexible working hours
- Gym reimbursement
- Health insurance
- Hybrid work format
- Medical coverage
- Modern office amenities
- Paid time off
- Psychologist support
- Training and community support
- Unlimited sick leave
Skills/Tech-stack
ARIMA | Automatic Retraining | Backtesting | CatBoost | ETS | Elasticsearch | Feature Engineering | Fraud Detection | GRPC | Helm | Kubernetes | LLM integration | LightGBM | MAPE | MLOps | Machine Learning | Model Monitoring | Prompt engineering | Prophet | Protobuf | Python | RMSE | SQL | Series forecasting | Time Series | Time Series Forecasting | Vector Search | WAPE | XGBoost
Education
N/A
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