System Developer - RAN OAM Management
Arbetsgivare / Ort:ERICSSON AB / Stockholm
Omfattning / Varaktighet:Vanlig anställning / Tills vidare
Lönetyp: Fast månads- vecko- eller timlön
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Publicerad: 2026-08-17
Källa: Arbetsförmedlingen
Om jobbet
Ericsson AB
Job description: Join our TeamAbout this opportunity:
We are looking for a Master’s graduate with a strong AI/ML background to join our RAN OAM Management team as a System Developer. You’ll work at the frontier of agentic AI, autonomous networks and data engineering – turning raw RAN data into intelligent agents and autonomous functions on live networks.
You will join a team of 16 experts owning the RAN OAM system architecture, defining how operators monitor, configure and automate their RAN, and evolving it toward autonomous, AI-driven, self-healing and self-optimizing networks.
Previous team members have grown into system architect and technical leadership roles. You won’t just build models or pipelines – you’ll help design the “data nervous system” and agent systems that perceive and act on one of the world’s most complex distributed infrastructures.
What you will do:
- Build and systemize end-to-end AI/ML solutions for RAN operations – from raw network data and feature engineering to models and agents that act on live networks (RAN features, rApps, OAM functions).
- Design data pipelines and data quality guards that turn heterogeneous RAN/OAM data into reliable, agent-ready and ML-ready datasets.
- Develop ML/DL models (e.g. time-series forecasting, anomaly detection, root-cause analysis) with solid MLOps (training pipelines, monitoring, drift detection, CI/CD).
- Contribute to agentic AI for network operations (LLM-based agents, tool use/function calling, multi-agent coordination, human-in-the-loop).
- Collaborate with RAN/OAM experts to turn operational workflows into autonomous use cases with clear autonomy maturity targets.
The skills you bring:
- Master’s degree in Computer Science, Electrical Engineering, Engineering Physics, Data Science, or similar (recent graduate).
- Strong ML/AI fundamentals (supervised, unsupervised and reinforcement learning).
- Experience with time-series forecasting, anomaly detection or root-cause analysis on operational or sensor data.
- Proficiency in Python and common ML/DL frameworks.
- Understanding of MLOps basics - training pipelines, monitoring, drift detection and CI/CD for ML.
- Interest in agentic AI concepts (LLM-based agents, tool use/function calling, prompt engineering).
Good to have:
- Experience designing data pipelines for high-volume data (batch and/or streaming).
- Familiarity with data quality and observability (schema validation, data contracts, lineage tracking).
- Experience with distributed data processing (e.g. Spark, Dask, Ray or similar).
- Telecom domain knowledge or familiarity with Ericsson platforms and autonomous networks frameworks is a plus.
Arbetsgivare
ERICSSON AB
16480 Stockholm
Webbplats: www.ericsson.com
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