Telco AI and Data Engineering
Capgemini
Capgemini
Join Capgemini Engineering, a global leader in engineering services, and contribute to shaping the future of telecommunications. We empower telecom operators to leverage data, AI, and automation for enhanced business value. You will be instrumental in designing and implementing next-generation network intelligence platforms and advanced analytics solutions.
As part of our dynamic team, you'll architect autonomous network capabilities across RAN, Core, and Transport domains. This role offers a career rich with opportunities to make a significant impact, where every day presents new challenges and learning experiences.
Architect comprehensive telecom network solutions spanning RAN, Core (2G/3G/4G/5G), BSC/BTS, packet-switched, and circuit-switched environments. Design robust data and AI foundations to support autonomous network functionalities, including closed-loop assurance, self-optimizing networks, and intent-based automation.
Lead presales initiatives, encompassing solution architecture, proposal development, effort estimation, costing, and client presentations. Drive innovation in greenfield architecture projects and spearhead the modernization of existing telecom platforms and data ecosystems.
This role requires 9-12 years of dedicated experience in Telecom Analytics, Data Engineering, Data Science, or Network Transformation. A strong understanding of telecom infrastructure is essential, including RAN, Core Networks, BSC, BTS, MSC, EPC, 5GC, Packet Core, Circuit-Switched Core, and IP Transport.
Key technical proficiencies include expertise in RAN, Core (2G/3G/4G/5G), BSC, BTS, MSC, EPC/5GC, Packet Core, Circuit-Switched Core, and Transport/IP. The ideal candidate will act as a trusted advisor, merging deep telecom domain knowledge with advanced data engineering and AI capabilities to drive architectural decisions in complex telecom and cloud environments.
Capgemini
Telecommunications