AI/ML Engineer

Description :

Summary :

Build offline AI modules for forecasting, anomaly detection, and KPI report generation.

Responsibilities :

- Preprocess large KPI datasets (Pandas/NumPy)

- Implement time-series forecasting (NeuralProphet / N-BEATS)

- Implement anomaly detection (IsolationForest / Autoencoder)

- Build correlation/feature importance (XGBoost + SHAP)

- Package models for offline inference

- Provide structured outputs for the backend

Required Skills :

- Python, Pandas, NumPy

- scikit-learn / PyTorch

- Time-series analysis methods

- Model optimization for offline environments

Nice to Have :

- Llama/Mistral offline model usage

- KPI/telecom counters experience