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,

📌 Lead I (Noida)
🏢 UST
📍 Noida