Senior Machine Learning Engineer
Lahore, Punjab, Pakistan
USD 157K-189K (estimate) Senior-level Full Time
Tasks
- Architect scalable machine learning pipelines
- Build business dashboards
- Build financial risk forecasting models
- Build statistical forecasting models
- Deploy models to cloud
- Design production ML workflows
- Detect anomalies in financial time series
- Develop machine-learning forecasting models
- Engineer time series features
- Implement drift detection
- Implement model monitoring
- Implement model versioning
- Implement time aware cross validation
- Lead time series forecasting development
- Perform backtesting for financial validation
- Quantify forecast uncertainty
- Run Bayesian hyperparameter optimization
- Set up automated retraining
Perks/Benefits
- N/A
Skills/Tech-stack
ARIMA | AWS SageMaker | Azure ML | Backtesting | Bayesian optimization | CI/CD | Cloud AI | Cloud ML | Cross-validation | Drift Detection | Exponential Smoothing | Feature Engineering | Google Cloud | Google Cloud AI | Hyperparameter Tuning | Jupyter | LIME | MLOps | Mean Absolute Error | Mean Absolute Percentage Error | Model Interpretability | Model Monitoring | Model versioning | NumPy | Pandas | Power BI | Prophet | Python | Root Mean Squared Error | SARIMA | SHAP | Scikit-learn | Series forecasting | Streamlit | Tableau | Time Aware Cross Validation | Time Series | Time Series Forecasting | Time-series feature engineering | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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