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About the role
Strong expertise in deploying machine learning models in real-world environments. Hands-on experience in Automated Valuation Models (AVM) , LangChain , and LLM-powered applications . Proficiency with Python-based data science tools like Pandas , NumPy , Scikit-learn , XGBoost , and LightGBM . Skilled in feature engineering , data intelligence extraction , and handling structured, semi-structured, and unstructured data . Experience integrating models into APIs and production environments.
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