Senior Machine Learning Engineer
Lahore, Punjab, Pakistan
INR 4250K-5500K (estimate) Senior-level Full Time
Tasks
- Architect ML pipelines for financial forecasting
- Automate model retraining
- Build FX exposure forecasting models
- Build and benchmark statistical and machine learning forecasting models
- Build treasury cash flow forecasting models
- Communicate insights to finance and executive stakeholders
- Conduct backtesting with financial validation methods
- Deploy production ML pipelines
- Design time series features with lag and seasonal components
- Develop business dashboards
- Implement anomaly detection for financial time series
- Implement model versioning monitoring and drift detection
- Implement time aware cross validation
- Lead time series forecasting development
- Maintain model governance documentation and auditability
- Mentor ML engineers and establish feature validation best practices
- Model financial risk and uncertainty
- Perform Bayesian hyperparameter optimization
Perks/Benefits
- N/A
Skills/Tech-stack
ARIMA | AWS SageMaker | Anomaly Detection | Azure ML | Backtesting | Bayesian Modeling | Bayesian optimization | CI/CD | Cloud platform | Cross-validation | Drift Detection | ETS | Exponential Smoothing | Feature Engineering | Google Cloud | Google Cloud Platform | Hyperparameter Optimization | Jupyter | LIME | MAE | MAPE | MLOps | Model Interpretability | Model versioning | NumPy | Pandas | Power BI | Prophet | Python | RMSE | SARIMA | SHAP | Scikit-learn | Streamlit | Tableau | Time Aware Cross Validation | Time Series | XGBoost
Education
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