Senior Machine Learning Engineer
Shenzhen, Guangdong Province, China
CNY 457K-540K (estimate) Senior-level Full Time
Tasks
- Address class imbalance data leakage bias and model stability
- Build features from customer transaction repayment behavioral and alternative data
- Build training validation deployment monitoring and retraining pipelines
- Conduct experiments and translate improvements into business outcomes
- Define offline and online evaluation metrics for lending outcomes
- Design develop productionize machine learning models for credit scoring underwriting fraud detection collections portfolio risk management
- Document models and explain decisions to stakeholders
- Explore practical LLM and agentic AI applications
- Integrate models into scalable production systems with engineering teams
- Monitor model performance calibration drift fairness and operational impact
- Select evaluate algorithms emphasizing explainable high performance models
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agentic AI | Bias Mitigation | Calibration | Class imbalance | Class imbalance handling | Cloud Platforms | Containers | Data Drift | Data Drift Detection | Data Leakage Prevention | Data leakage | Docker | Drift Detection | Experiment tracking | Feature Engineering | Leakage prevention | LightGBM | Logistic Regression | Machine Learning | Model Evaluation | Model Explainability | Model Monitoring | NumPy | Pandas | Prompt engineering | Python | Random Forests | Reproducible ML | Retrieval-Augmented Generation | SQL | Scikit-learn | XGBoost
Education
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