
Engineer
- Tsing Yi, Hong Kong
- Permanent
- Full-time
- Monitor and manage the end-to-end performance of mobile core domains, including EPC, IMS and Datapath, to ensure seamless high-quality connectivity and reliability
- Design and implement network optimization strategies using AI/ML models to enhance performance across all layers, from RAN to Core to Internet
- Develop and maintain advanced analytics frameworks leveraging machine learning to extract actionable insights from large-scale network data and deliver regular reports to stakeholders
- Lead automation and AI initiatives to streamline performance monitoring, anomaly detection, diagnostics, and reporting processes, to improve operational efficiency
- Drive continuous improvement by evaluating and integrating cutting-edge technologies, including AI/ML and industry trends
- Degree holders or above in Computer Science, Engineering, Information Technology or a related field
- A minimum of 3 years of proven experience in the Telecommunications industry with a focus on mobile core or network performance
- Strong understanding of network performance metrics (e.g. BDP, RTT, packet loss) and experience applying ML techniques to optimize these metrics
- In-depth knowledge of IP networking components (e.g., routers, switches, DNS, firewalls, CDN) and Internet protocols (e.g. HTTP, HTTP/3, QUIC, SSL/TLS)
- Hands-on experience with scripting, programming (e.g. Python) and working with databases and data pipelines
- Experience with AI/ML tools and platforms (e.g., TensorFlow, PyTorch, Scikit-learn) and familiarity with data visualization tools (e.g., Power BI, Grafana) is a strong advantage
- Familiarity with PS Core, CS Core, and RAN is an advantage.
- CCNA certification or equivalent is preferred.
- Good command of written and spoken English & Chinese; speaking in Putonghua is a plus
- A self-motivated and positive team player with effective organizing and communication skills
- Candidates with less experience will be considered as Assistant Engineer
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