Engineer, Radio Network Engineering

SINGAPORE TELECOMMUNICATIONS LIMITED

Singapore

On-site

SGD 90,000 - 130,000

Full time

12 days ago

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Job summary

SINGAPORE TELECOMMUNICATIONS LIMITED seeks an AI-for-RAN Specialist to design and deploy AI-driven automation for the Radio Access Network. You will bridge Ericsson RAN platforms with SMO, enabling cloud-native, autonomous network operations across multi-vendor environments.

You will develop AI models, automation workflows, and rApps, supporting closed-loop optimization, self-configuration, and self-healing. Collaborative work with RAN, OSS, Cloud, and data teams is essential.

Qualifications

  • Bachelor’s degree in a relevant engineering or data science field.
  • Foundation in wireless/mobile communications and software engineering.
  • 1–2 years of relevant university project or internship experience.

Responsibilities

  • Design, implement, and test AI/ML models for RAN use cases.
  • Develop automation scripts and rApps for autonomous network operations.
  • Prepare datasets and validate AI model performance.
  • Collaborate with RAN, OSS, Cloud, and AI teams on PoC projects.

Skills

Python
SQL
Object-oriented programming
Linux
Git
LTE/5G knowledge

Education

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

Tools

ENM/EIAP
SMO
APIs development

Job description

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
  1. 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.
  2. Assist in preparing datasets and validating AI model performance.
Ericsson RAN & SMO Support
  1. Assist in developing and testing automation solutions on Ericsson RAN management platforms (e.g., ENM/EIAP) and SMO.
  2. Support configuration, monitoring, and troubleshooting activities.
rApp & Software Development
  1. Assist in developing, testing, and maintaining rApps and cloud-native applications.
  2. Develop simple APIs, automation scripts, and reusable software components under supervision.
Data Analysis & Reporting
  1. Collect and analyze RAN performance data from PM, FM, and CM systems.
  2. Prepare dashboards, reports, and visualizations to support AI use cases.
Learning & Collaboration
  1. Participate in technical training, Proof-of-Concept (PoC) activities, and innovation projects.
  2. 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).
  • Familiarity with Linux and Git.
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