Senior Machine Learning Engineer
Lahore, Punjab, Pakistan
USD 157K-189K (estimate) Senior-level Full Time
Tasks
- Architect scalable ML pipelines
- Build and benchmark statistical and ML models
- Build forecasting models for financial use cases
- Collaborate with stakeholders
- Conduct backtesting
- Create dashboards and reports
- Deploy ML solutions in cloud environments
- Design advanced time-series features
- Ensure model governance and documentation
- Implement cross-validation and hyperparameter optimization
- Lead development of time-series forecasting solutions
- Mentor junior engineers
- Perform anomaly detection
- Quantify model uncertainty
Perks/Benefits
- Cross-functional collaboration
- High-impact financial projects
- Ownership culture
- Scalable ML system architecture
- Technical leadership
Skills/Tech-stack
ARIMA | Bayesian optimization | Cloud Platforms | Data Pipelines | Exponential Smoothing | LIME | Machine Learning | Model Deployment | NumPy | Pandas | Prophet | Python | SARIMA | SHAP | Scikit-learn | Series forecasting | Time Series | Time Series Forecasting | XGBoost
Education
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