Artificial Intelligence Engineer
1 week ago
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.
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