Artificial Intelligence Engineer

About the Role

Huawei is seeking an AI Expert to design, develop, and deploy AI/ML-based solutions supporting RF optimization, SmartCare services, and network analytics . This role will enable proactive and predictive operations, improve network performance, and enhance customer experience through data-driven intelligence .

The ideal candidate combines AI expertise with telecom domain knowledge , ensuring end-to-end solution delivery from data preprocessing to deployment and monitoring .

Key Responsibilities

• Design, develop, and deploy AI/ML models to support RF optimization, SmartCare services, and network analytics.
• Build and maintain data pipelines (Python, SQL, big data platforms) for large-scale telecom datasets.
• Collaborate with RF planning/optimization and SmartCare teams to integrate AI into daily workflows (anomaly detection, forecasting, coverage/capacity prediction, root cause analysis).
• Develop automation tools, dashboards, and visualization systems for real-time insights.
• Deliver end-to-end AI solutions : requirements analysis, model training/validation, deployment, and monitoring.
• Conduct research on advanced AI techniques (LLMs, deep learning, reinforcement learning, anomaly detection, RAG) and apply them in telecom.
• Provide knowledge transfer, documentation, and training to internal teams.
• Translate business problems into data-driven AI projects .
• Diagnose model results and ensure alignment with business KPIs .

Qualifications & Skills

• Bachelor’s degree in Computer Science, AI, Data Science, or Telecommunications (Master’s preferred).
• 4–5 years of experience in AI/ML solution development , preferably in telecom (RF optimization, SmartCare, network analytics).
• Expertise in machine learning, deep learning, and data analytics frameworks (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Spark).
• Strong Python/SQL programming skills for telecom data analytics and automation.
• Knowledge of RF networks (2G/3G/4G/5G) and SmartCare solutions.
• Proficiency in data engineering and visualization tools (Power BI, Tableau, Huawei in-house tools).
• Familiarity with cloud-based AI/Big Data platforms .
• Strong problem-solving, troubleshooting, and cross-functional collaboration skills.