AI-driven RAN Engineer: Autonomous Network Ops

Singtel Group; Singapore; On-site; SGD 55,000 - 85,000; Full time

Job summary

Singtel Group is seeking an AI-for-RAN Specialist to design, develop, deploy, and operationalize AI-driven automation for the Radio Access Network. You will bridge traditional RAN management with SMO to enable autonomous, cloud-native operations.

You will build AI models, automation workflows, and rApps that support self-configuration, self-healing, and KPI analytics across multi-vendor environments, collaborating with RAN, OSS, Cloud, Data & AI teams.

Qualifications

• Up to 2 years of relevant experience.
• Experience from university projects, internships, or capstone projects involving software development or data analytics.
• Basic programming knowledge in Python.
• Basic understanding of object-oriented programming.
• Basic SQL and data analysis skills.
• Understanding of LTE/5G mobile networks (academic knowledge acceptable).

Responsibilities

• AI & Automation Development: Develop AI models and automation scripts for RAN KPI analysis, anomaly detection, and traffic prediction.
• Ericsson RAN & SMO Support: Develop and test automation on Ericsson RAN platforms (ENM/EIAP) and SMO.
• rApp & Software Development: Develop, test, and maintain rApps and cloud-native apps; build APIs and reusable components.
• Data Analysis & Reporting: Collect RAN performance data and prepare dashboards and visualizations for AI use cases.
• Participation in technical training, PoC activities, and innovation projects; collaborate with RAN, OSS, Cloud, and AI teams.

Skills

Python

OOP

SQL

LTE/5G knowledge

Wireless/mobile communications

Education

Bachelor's degree in Telecommunications Engineering, Electrical & Electronics Engineering, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related

Job description

Singtel Group is seeking an AI-for-RAN Specialist to design, develop, deploy, and operationalize AI-driven automation for the Radio Access Network. You will bridge traditional RAN management with SMO to enable autonomous, cloud-native operations.

You will build AI models, automation workflows, and rApps that support self-configuration, self-healing, and KPI analytics across multi-vendor environments, collaborating with RAN, OSS, Cloud, Data & AI teams.