Specialist, Radio Network Engrg

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The AI-for-RAN Specialist is responsible for designing, developing, deploying, and operationalizing AI-driven automation solutions that improve the performance, efficiency, and autonomy of the Radio Access Network (RAN). The role bridges traditional Ericsson RAN management platforms with Service Management and Orchestration (SMO) to enable intelligent, cloud-native, and standards-based network operations.

The incumbent will develop AI models, automation workflows, and rApps (possible cApps) that support closed-loop optimization, self-configuration, self-healing, and autonomous network operations across multi-vendor RAN environments wherever applicable. Working closely with, RAN Operations, OSS, Cloud, Data & AI, and vendor partners, the engineer will accelerate the organization's transformation towards AI-native and autonomous networks.

Make an impact by:
AI & Machine Learning for RAN

1. • Design, develop, and operationalize AI/ML models for RAN optimization, including traffic prediction, coverage and capacity optimization, mobility optimization, anomaly detection, predictive maintenance, and energy efficiency.
   • Develop data pipelines, feature engineering, model training, validation, deployment, and monitoring using MLOps practices.
   • Evaluate emerging AI technologies, including Generative AI, AI Agents, and LLMs, to enhance RAN operations.

2. Ericsson RAN Management & Automation

2. • Develop AI-driven automation solutions on Ericsson Network Manager (ENM), Ericsson Intelligent Automation Platform (EIAP), and related Ericsson OSS platforms.
   • Automate configuration, fault, performance, software lifecycle, and capacity management processes.
   • Integrate AI recommendations into Ericsson operational workflows and APIs.

3. SMO & rApp Development

3. • Design, develop, test, and deploy rApps on the SMO platform.
   • Ensure interoperability across multi-vendor RAN environments (if applicable).

4. Network Automation & Closed-Loop Operations

4. • Develop policy-driven closed-loop automation for network optimization, assurance, healing, and energy management.
   • Implement intent-based automation workflows and orchestration.
   • Integrate automation with OSS/BSS, SMO, and Ericsson RAN management platforms.

5. Data Engineering & Analytics

5. • Develop scalable data ingestion pipelines from PM, FM, CM, trace data, UE measurements, Ericsson OSS, and SMO data sources.
   • Build data models, dashboards, and analytics supporting AI-driven insights and decision-making.

6. Collaboration, Innovation & Technology Leadership

6. • Collaborate with RAN Engineering, Operations, Cloud, Data & AI teams, and vendor partners to deliver AI-enabled solutions.
   • Evaluate new technologies, participate in Proof-of-Concepts (PoCs), and contribute to AI and roadmaps.
   • Promote engineering best practices and knowledge sharing.

Skills for Success:

• Bachelor's degree in Telecommunications Engineering, Electrical & Electronics Engineering, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related discipline.
• Strong foundation in wireless/mobile communications and software engineering.
• 3–8 years of experience in mobile telecommunications, RAN engineering, OSS, or network automation.
• Hands-on experience with LTE and/or 5G RAN performance management and optimization.
• Experience developing software using Python.
• Experience developing APIs or automation scripts.
• Experience working in Agile software development environments.
• Professional certifications in Cloud (AWS, Azure, GCP), Kubernetes, or AI/ML