AI Engineer – HYBRID

Job Overview

AI/ML Models: Experience with Automated Valuation Models (AVM) and real-world deployment of machine learning modelsLangChain: Proficient in using LangChain for building LLM-powered applicationsData Science Toolkit: Hands-on with Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, and JupyterFeature Engineering: Strong background in feature engineering and data intelligence extractionData Handling: Comfortable with structured, semi-structured, and unstructured dataProduction Integration: Experience integrating models into APIs and production environments using Python-based frameworks

Additional Info

Generally, should have worked with a diverse set of data types across multiple projects, demonstrating strong problem-solving acumen.

Skills: data,langchain,jupyter,apis,lightgbm,models,data intelligence extraction,pandas,building,machine learning models,xgboost,numpy,structured data,python-based frameworks,semi-structured data,data intelligence,automated valuation models (avm),scikit-learn,unstructured data,feature engineering