AI Transmission & Automation Engineer
Indeed|StarHub|Singapore|5 Aug 2026
JOB DESCRIPTION
About the Role:
We are looking for an Engineer to support network design, planning, and implementation, with AI/ML skills used to strengthen forecasting, automation, and decision-making across the network lifecycle. This is a great opportunity for an early-career engineer to build hands-on network engineering experience while applying AI techniques to real planning and implementation challenges. Experience or exposure to the telecommunications industry is preferred but not required.
Key Responsibilities:
Support the design and planning of network infrastructure, including capacity planning, dimensioning, and technology evaluation
Assist in the implementation and rollout of network solutions, coordinating with cross-functional teams to ensure designs are deployed as planned
Perform traffic forecasting and demand modelling to inform network planning decisions
Apply AI/ML techniques (e.g., predictive traffic modelling, anomaly detection, automated capacity planning) to improve the accuracy and efficiency of network planning and design
Build and maintain data pipelines to support AI-driven forecasting and network analytics
Conduct data analysis to identify network performance trends and planning opportunities
Prepare technical documentation, planning reports, and design proposals
Support troubleshooting and optimization of network designs during implementation
Stay current with emerging network technologies and AI/ML trends, and propose relevant applications
Qualifications
Required Qualifications:
Bachelor's degree in Telecommunications, Electrical/Electronic Engineering, Computer Science, or a related field
0–3 years of experience in network engineering, network planning, or a related field (internships and academic projects considered)
Foundational understanding of network design principles, including capacity planning and dimensioning
Working knowledge of AI/ML fundamentals and how they can be applied to network planning or forecasting
Proficiency in Python or similar programming languages for data analysis and automation
Familiarity with data analysis tools (e.g., Excel, SQL, Pandas)
Strong problem-solving skills and ability to learn new technologies quickly
Preferred Qualifications:
Exposure to or interest in the telecommunications industry, including network implementation and rollout
Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) applied to network forecasting or optimization
Familiarity with network planning and simulation tools
Understanding of network technologies such as IP, optical transport, or DWDM
Experience with cloud platforms (AWS, Azure, GCP) for data analytics or model deployment
Experience with version control (Git) and collaborative development workflows
To APPLY NOW, click on Skye!
We are looking for an Engineer to support network design, planning, and implementation, with AI/ML skills used to strengthen forecasting, automation, and decision-making across the network lifecycle. This is a great opportunity for an early-career engineer to build hands-on network engineering experience while applying AI techniques to real planning and implementation challenges. Experience or exposure to the telecommunications industry is preferred but not required.
Key Responsibilities:
Support the design and planning of network infrastructure, including capacity planning, dimensioning, and technology evaluation
Assist in the implementation and rollout of network solutions, coordinating with cross-functional teams to ensure designs are deployed as planned
Perform traffic forecasting and demand modelling to inform network planning decisions
Apply AI/ML techniques (e.g., predictive traffic modelling, anomaly detection, automated capacity planning) to improve the accuracy and efficiency of network planning and design
Build and maintain data pipelines to support AI-driven forecasting and network analytics
Conduct data analysis to identify network performance trends and planning opportunities
Prepare technical documentation, planning reports, and design proposals
Support troubleshooting and optimization of network designs during implementation
Stay current with emerging network technologies and AI/ML trends, and propose relevant applications
Qualifications
Required Qualifications:
Bachelor's degree in Telecommunications, Electrical/Electronic Engineering, Computer Science, or a related field
0–3 years of experience in network engineering, network planning, or a related field (internships and academic projects considered)
Foundational understanding of network design principles, including capacity planning and dimensioning
Working knowledge of AI/ML fundamentals and how they can be applied to network planning or forecasting
Proficiency in Python or similar programming languages for data analysis and automation
Familiarity with data analysis tools (e.g., Excel, SQL, Pandas)
Strong problem-solving skills and ability to learn new technologies quickly
Preferred Qualifications:
Exposure to or interest in the telecommunications industry, including network implementation and rollout
Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) applied to network forecasting or optimization
Familiarity with network planning and simulation tools
Understanding of network technologies such as IP, optical transport, or DWDM
Experience with cloud platforms (AWS, Azure, GCP) for data analytics or model deployment
Experience with version control (Git) and collaborative development workflows
To APPLY NOW, click on Skye!