Machine Learning Engineer

Responsibilities

• Proven hands-on experience developing, deploying, and maintaining machine learning models for credit scoring or credit risk, with direct impact on credit decisioning systems.
• Strong understanding of statistical modeling and supervised learning techniques, including logistic regression, decision trees, random forests, gradient boosting (XGBoost, LightGBM), and ensemble methods.
• Ability to select, tune, and optimize models for highly imbalanced credit and risk datasets.
• Extensive experience with feature engineering using financial, transactional, and alternative data sources such as transaction histories, payment behavior, mobile money data, telco data, or other non-traditional indicators.
• Expert proficiency in Python, with strong hands-on experience using scikit-learn, XGBoost, LightGBM, and deep learning frameworks such as TensorFlow or PyTorch when required.
• Strong knowledge of model validation, monitoring, and lifecycle management, including drift detection and ongoing performance evaluation.
• Familiarity with credit risk performance metrics, including Gini coefficient, KS statistic, AUC-ROC, precision-recall, calibration, and Population Stability Index (PSI).

Qualifications

• Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 4+ years of professional experience in machine learning, data science, or credit risk modeling, preferably within fintech, lending, or financial services.
• Experience working with production ML systems that support real-time or near real-time decisioning.
• Strong analytical and problem-solving skills with the ability to translate business risk requirements into effective ML solutions.
• Experience in emerging markets or alternative data-driven credit models is a strong plus.

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Required Skills

• AI

Job Details

• Location: Amman - Jordan
• Industry: Information & Communication Technologies
• Job Type: Full-Time
• Degree: Bachelor
• Experience: 4+
• Nationality: Unspecified