Source description
About the role
Key Responsibilities
Develop, train, validate, and deploy Machine Learning and Deep Learning models for telecom applications. Analyze large-scale network, OSS/BSS, customer, and performance datasets to identify trends and optimization opportunities. Build predictive analytics solutions for:
Network fault prediction Capacity planning Traffic forecasting Churn prediction Customer experience management Revenue assurance
Design AI-based solutions for network automation and self-healing networks. Implement anomaly detection models to identify network degradations and service issues. Develop data pipelines and feature engineering processes for ML model training. Collaborate with telecom domain experts to translate business requirements into AI solutions. Monitor model performance and continuously improve accuracy and scalability. Create dashboards, reports, and visualizations to communicate insights to stakeholders. Ensure compliance with data security and privacy standards.
data science,machine learning,deep learning,network automation,
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