Machine Learning Engineer (Spanish Speaking)

We’re looking for a freelance Machine Learning Engineer to help us optimize and maintain a regression model used to predict revenue based on payment transaction features. The ideal candidate should be comfortable with structured data, feature engineering, and model evaluation.

What you’ll do

• Improve and maintain existing models (Random Forest, XGBoost) built with scikit-learn pipelines.
  
  

• Tune hyperparameters and evaluate using proper metrics (MAE, R²).
  
  

• Generate model diagnostics (feature importance, prediction distribution, error analysis).
  
  

• Help ensure code is clean, reproducible, and well-structured.
  
  

• Optional: assist with Dockerizing or deploying via REST API (Flask/Gunicorn).
  

What we’re looking for

• Solid experience in regression modeling using scikit-learn, xgboost, and pandas.
  
  

• Strong understanding of metrics (especially for regression) and data preprocessing.
  
  

• Ability to read and refactor existing code.
  
  

• Comfortable working with CSV datasets, pipelines, and model persistence (joblib).
  
  

• English communication skills (written is enough).
  
  

Nice to have (not required)

• Experience with Flask APIs.
  
  

• Understanding of Docker.
  
  

• Familiarity with financial or transactional data.