Python Developer - Traditional AI
• 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.