R&D Engineer - Network Automation and AI Operations

About the role

A Dubai-based team builds HCT products that automate network operations: KPI analytics, anomaly detection, closed-loop automation and AI agents for the NOC. You turn ideas from whiteboard to working product on real network data, reporting to the CEO. The position is full-time, on-site, and open to candidates with 2 to 5 years of experience.

Key responsibilities

• Build data pipelines from OSS, NMS, SNMP and streaming telemetry
• Train models for anomaly detection, KPI forecasting and root-cause analysis
• Write closed-loop automation with Python, Ansible and NETCONF/YANG
• Take prototypes from proof of concept to minimum viable product
• Run the Dubai lab and document what is built
• Work with the AI Engineer on agents that operate networks

Required profile

• BSc or MSc in Telecommunications, Electrical Engineering or Computer Science
• 2 to 5 years in network automation, data engineering or machine learning
• Strong Python, SQL and time-series data
• Git and good engineering habits
• Curiosity and the discipline to finish

Required skills

• Python, SQL, Git
• Strong plus: O-RAN RIC xApps and rApps, Kafka, Prometheus and Grafana
• Research publications or patents are a strong plus

What we offer

• Projects on live operator, government and enterprise networks
• Multi-vendor exposure: Viettel, Ericsson, Nokia, Huawei and Open RAN
• AI agents built into daily work
• Competitive package based on experience
• UAE employment visa and medical insurance
• Office in TECOM, Dubai, with a small senior team and direct access to the CEO

The process starts with a CV review, then a role interview, a technical or case task and a final interview with the CEO; offers come within a week of the final interview.