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