Machine Learning Engineer Intern
B2H · Tunis
Job description
About the role
Join the projectB2H team to help build a Sharia‑compliant trading assistant that analyses financial markets and generates BUY / HOLD / AVOID signals with explanations. You will work alongside two other interns to deliver a minimum viable product in one month.
Key responsibilities
- Collect and prepare historical market datasets for model training.
- Clean, preprocess and engineer features from technical indicators, candlestick patterns and price‑action data.
- Develop and compare machine‑learning models such as logistic regression, Random Forest, XGBoost, LightGBM and optionally LSTM.
- Evaluate models using accuracy, precision, recall, F1‑score, confusion matrix and back‑testing metrics (win rate, risk/reward, maximum drawdown).
- Deliver a financial data pipeline, feature‑engineering module, trained models, evaluation report and back‑testing results.
Required profile
- Currently studying data science, statistics, computer science or a related field.
- Understanding of evaluation metrics and the risk of over‑fitting on financial time series.
- Methodological honesty about data leakage and model validity.
- Interest in financial markets is a plus, but not mandatory.
Required skills
- Python programming.
- Data‑science libraries such as pandas and scikit‑learn.
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Published 1 month ago
Expires 1 week from now
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