Role Description

Telecom Specialist –

- Network Domain SME

: Bangalore, Gurgaon

We are looking for an experienced Telecom Network Domain SME with strong expertise in Radio Access Network (RAN) technologies, 4G/5G, end-to-end network performance, OSS platforms, and KPI analysis.

The role will provide technical guidance to data scientists and software development teams in interpreting telecom data and defining AI/ML and agentic solutions for network performance, optimization, and operations. The position does not require hands-on software development, but requires a robust understanding of telecom concepts, OSS data, network analytics, and performance management.

Experience Range

7–10+ years of relevant telecom/RAN experienc

Must-Have Skills

Telecom &

- RAN Expertise

- Strong understanding of RAN technologies, including 2G/3G/4G/LTE/5G concepts, architecture, and interfaces.
- Strong understanding of end-to-end network domains, network performance, and optimization.
- Deep knowledge of RAN KPIs, performance metrics, and KPI validation.
- Strong understanding of Configuration Management (CM), Performance Management (PM), and Fault Management (FM).
- Hands-on experience interpreting OSS platform data structures and performance data.
- Strong knowledge of telecom/network optimization methodologies.
- Experience with network performance troubleshooting, anomaly identification, root-cause analysis, and optimization.
- Experience with Nokia and/or Ericsson OSS platforms is highly preferred.

Data &
- Analytics

- Strong ability to analyze network performance data and identify:
- Trends and patterns
- Anomalies
- Performance degradation
- Optimization opportunities
- KPI correlations

- Ability to work with data scientists and software developers to translate telecom requirements into analytics, reporting, and AI/ML use cases.
- Ability to validate KPIs and ensure end-to-end solution alignment across network deployments.
- Understanding of telecom-specific data structures and APIs.

Collaboration &
- Technical Leadership

- Proven ability to act as a Telecom SME for software engineering and data science teams.
- Ability to translate network/operator requirements into actionable technical solutions.
- Solid technical communication, documentation, and stakeholder management skills.
- Experience mentoring junior engineers/SMEs and conducting knowledge transfer.




- Strong analytical and problem-solving capabilities.

Good-to-Have Skills AI/ML &
- Data Analytics

- Experience applying AI/ML to telecom operations, network optimization, or network assurance.
- Understanding of agentic AI use cases for telecom/network operations.
- Familiarity with data analytics platforms and workflows.
- Experience supporting development of network performance dashboards and analytical solutions.
- Understanding of AI/ML model inputs, telecom feature engineering, KPI interpretation, and validation.

Software &
- Technology

- Software development experience is optional but highly valued.
- Ability to collaborate effectively with developers on new reports, dashboards, APIs, and analytics solutions.
- Familiarity with telecom APIs and OSS data integration.
- Understanding of data pipelines and data engineering concepts.

Operator &
- Deployment Experience

- Experience supporting major global operators such as Airtel, AT&T;, T-Mobile, Dish, Jio, or similar Tier-1 operators.
- Experience with enterprise and large-scale carrier deployments.
- Proven experience delivering telecom solutions from network optimization through operational deployment.
- Experience working in large, complex, multi-vendor network environments.

Key Responsibilities
- Analyze RAN performance data and identify trends, anomalies, and optimization opportunities.
- Provide technical expertise on CM/PM/FM OSS data and telecom data structures.
- Support troubleshooting and root-cause analysis for network-related issues.
- Validate network KPIs and performance reports.
- Lead or support network optimization initiatives across enterprise and large-scale carrier deployments.
- Collaborate with software developers and data scientists to develop:
- Performance reports
- Network analytics solutions
- AI/ML use cases
- Agentic AI solutions for telecom operations

- Translate telecom operational requirements into actionable technical specifications.




- Provide technical guidance on interpretation of network and OSS data.
- Ensure end-to-end alignment between network requirements, analytics solutions, and operational deployments.
- Prepare and review technical reports, dashboards, and performance insights for stakeholders.
- Mentor junior team members on OSS platforms, network optimization, and telecom technologies.
- Support continuous improvement of network performance and operational efficiency.

Technical Competencies RAN 2G/3G/4G/5G, LTE, RAN architecture OSS CM, PM, FM data and OSS workflows OEM Nokia and Ericsson preferred Network Performance KPI analysis, monitoring, troubleshooting Optimization RAN/network optimization methodologies Analytics Network performance data analysis and anomaly detection AI/ML Telecom AI/ML use cases and solution guidance APIs/Data Telecom data structures and APIs Reporting Performance reports, dashboards, KPI validation Software Development Optional; collaboration with development teams required

Soft Skills

- Strong cross-functional collaboration.
- Excellent analytical and problem-solving skills.
- Strong technical communication and documentation.
- Ability to work independently and within global teams.
- Technical mentoring and knowledge transfer.
- Ability to communicate complex telecom concepts to non-telecom technical teams.
- Strong stakeholder management skills.

Added Advantage

- Telecom certifications from Nokia, Ericsson, or other recognized industry bodies are a plus.

Ideal Candidate Profile The ideal candidate will have 7–10+ years of telecom/RAN experience and demonstrate:

- Strong hands-on knowledge of RAN and OSS platforms.
- Proven expertise in network performance, KPI analysis, troubleshooting, and optimization.
- Experience working with global Tier-1 operators or large enterprise deployments.
- Ability to bridge the gap between telecom operations, data science, software engineering, and AI/ML teams.
- Experience translating network requirements into analytics and AI-driven solutions.
- Strong understanding of end-to-end network performance and operational deployment.
- Ability to provide technical leadership without necessarily being a software developer.

Skills 4G/5G, Data Analysis, Fault Management, Issue Analysis, Operations Research, KPI Reporting, RAN, Process Documentation, Technical Leadership

📌 Lead II - Telco Engineering (Gurugram)
🏢 UST
📍 Gurugram