AI/ML Engineer - Predictive Analytics & Time-Series Forecasting
Core
Develop machine-learning solutions for anomaly detection, predictive analytics, and time-series forecasting using operational and network data.
Role type
Machine learning engineer (time-series & anomaly detection)
Builds
Production-ready ML models, reproducible training and inference pipelines, and KPI baselines
Domain
Telecommunications / Network analytics
Deliverable
production ML models
Required skills
Python, pandas, NumPy, scikit-learn, time-series forecasting, anomaly detection, probabilistic forecasting, Git, software engineering (via careerplan.io/jobs/37e19b59-b191-475b-a5eb-73d087ab3e7a-aiml-engineer-predictive-analytics-time-series-forecasting-at-intracom-telecom)
Preferred skills
XGBoost, LightGBM, LSTM, transformer-based forecasting, MLflow, Docker, Kubernetes, REST APIs
Responsibilities
Develop anomaly-detection and time-series forecasting models; Build KPI baselines and identify unusual system behaviour; Design training, validation and rolling-backtest methodologies; Evaluate forecast accuracy, model calibration, false positives and missed detections; Develop probabilistic forecasts and prediction intervals; Integrate engineering rules and domain knowledge with ML results; Build reproducible training and inference pipelines and version models, features, datasets and configurations
Seniority
Mid-level, hands-on IC
