About this role
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