Role description
- 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.
Skills
data science,machine learning,deep learning,network automation,
About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.
