Verified Employer Hiring Fast Featured Role

AI/ML Engineer (Network Division)

MTN Nigeria Communications Plc verified
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Location
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Work Model
home_work hybrid
Job Type
work Full-time
External Interest
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Salary
payments Undisclosed

Intelligence Match

Match: ??%

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Skills Match 87%
Experience Match 88%
Portfolio Match 84%
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About the role

Assist the CTO with the identification, conceptualization and championing of activities, projects and or assignments aimed at optimizing performance within Network division. Develop machine learning models for network monitoring. Perform predictive analytics (fault detection, congestion forecasting). Promoting a data-driven culture within Network Group. Contribute to MTN’s Autonomous Network roadmap. Develop AI use cases including: Predictive fault detection, Traffic forecasting, Network anomaly detection, Root Cause Analysis (AI-assisted). Build automated dashboards and alerting systems. Integrate AI into NOC and performance workflows. Maintain data models and pipelines (structured/unstructured data). Education: First degree in any related discipline. Possession of an MBA or Project Management certification will be an advantage. Fluent in English. Experience: 3-7 years’ experience which includes Minimum of 3 years’ experience in an area of specialization; with experience in supervising others. 3+ years in data analytics or machine learning. Telecom network experience (RAN/Core/Transport). Experience in: Python / SQL / Spark / Hadoop. ML frameworks (TensorFlow, Scikit-learn, PyTorch). Exposure to OSS/BSS systems and telecom analytics platforms.

Required Skills

SQL Power BI NLP Agile Methodologies

Preferred Skills

Python Machine Learning TensorFlow PyTorch Tableau Hadoop Apache Spark Project Management Mentoring

Responsibilities

  • Assist the CTO with the identification, conceptualization and championing of activities, projects and or assignments aimed at optimizing performance within Network division.
  • Develop machine learning models for network monitoring
  • Perform predictive analytics (fault detection, congestion forecasting)
  • Promoting a data-driven culture within Network Group
  • Contribute to MTN’s Autonomous Network roadmap
  • Develop AI use cases including: Predictive fault detection, Traffic forecasting, Network anomaly detection, Root Cause Analysis (AI-assisted)
  • Build automated dashboards and alerting systems
  • Integrate AI into NOC and performance workflows
  • Maintain data models and pipelines (structured/unstructured data)
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