Your Role and Impact
Experience: 37 years
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
Your Contribution
Experience: 37 years
Summary: Build offline AI modules for forecasting, anomaly detection, and KPI report generation.
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
