Job Summary
A company is looking for a Mid Machine Learning Engineer to work on multi-year transactional data analysis and predictive modeling.
Key Responsibilities
- Receive, clean, and preprocess large volumes of transactional and financial data
- Design, train, and optimize predictive models to identify trends, clusters, and anomalies
- Generate forecasts and actionable insights to support business strategies
Required Qualifications
- Strong proficiency in Python, with libraries such as Pandas, NumPy, and Scikit-learn
- Hands-on experience with machine learning models (e.g., XGBoost, Random Forest)
- Knowledge of model interpretability and explainability techniques
- Analytical mindset with a solid business-oriented problem-solving approach
- Intermediate English proficiency
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