Engineer, Radio Network Engineering

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

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An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to say…“Hello BIG Possibilities”.

The AI-for-RAN Specialist is responsible for designing, developing, deploying, and operationalizing AI-driven automation solutions that improve the performance, efficiency, and autonomy of the Radio Access Network (RAN). The role bridges traditional Ericsson RAN management platforms with Service Management and Orchestration (SMO) to enable intelligent, cloud-native, and standards-based network operations.

The incumbent will develop AI models, automation workflows, and rApps (possible cApps) that support closed-loop optimization, self-configuration, self-healing, and autonomous network operations across multi-vendor RAN environments wherever applicable. Working closely with, RAN Operations, OSS, Cloud, Data & AI, and vendor partners, the engineer will accelerate the organization’s transformation towards AI-native and autonomous networks.

Make an impact by:

• AI & Automation Development
• Support the development and testing of AI/ML models and automation scripts for RAN use cases such as KPI analysis, anomaly detection, and traffic prediction.
• Assist in preparing datasets and validating AI model performance.
• Ericsson RAN & SMO Support
• Assist in developing and testing automation solutions on Ericsson RAN management platforms (e.g., ENM/EIAP) and SMO.
• Support configuration, monitoring, and troubleshooting activities.
• rApp & Software Development
• Assist in developing, testing, and maintaining rApps and cloud-native applications.
• Develop simple APIs, automation scripts, and reusable software components under supervision.
• Data Analysis & Reporting
• Collect and analyze RAN performance data from PM, FM, and CM systems.
• Prepare dashboards, reports, and visualizations to support AI use cases.
• Participate in technical training, Proof-of-Concept (PoC) activities, and innovation projects.
• Collaborate with RAN, OSS, Cloud, and AI teams while continuously developing technical competencies.

Skills for Success:

• Bachelor's degree in Telecommunications Engineering, Electrical & Electronics Engineering, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related discipline.
• Strong foundation in wireless/mobile communications and software engineering.
• 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).