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Python Developer - Traditional AI

Salary undisclosed

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• Bachelor's degree in Computer Science, Data Science, or a related field.

• Proven experience in Python programming and implementing traditional AI techniques (e.g., rule-based systems, decision trees, regression, clustering).

• Experience in the banking or financial services industry.

• Strong knowledge of data preprocessing, feature engineering, and statistical modeling.

• Familiarity with AI libraries like scikit-learn, Pandas, NumPy, and TensorFlow.

• Understanding of banking regulations, fraud detection methods, and credit risk modeling.

• Strong problem-solving skills and ability to collaborate with cross-functional teams.

• Bachelor's degree in Computer Science, Data Science, or a related field.

• Proven experience in Python programming and implementing traditional AI techniques (e.g., rule-based systems, decision trees, regression, clustering).

• Experience in the banking or financial services industry.

• Strong knowledge of data preprocessing, feature engineering, and statistical modeling.

• Familiarity with AI libraries like scikit-learn, Pandas, NumPy, and TensorFlow.

• Understanding of banking regulations, fraud detection methods, and credit risk modeling.

• Strong problem-solving skills and ability to collaborate with cross-functional teams.