Job ID: JOB_ID_5671
Job Summary:
We are looking for a skilled Telecom Engineer to analyze large-scale wireless network alarm data across RAN, Core, and IEN domains. This role involves developing machine learning models for alarm correlation, noise reduction, and predictive fault forecasting. The engineer will work with real-time and batch data processing, design dashboards, and collaborate with various operational teams to improve network health, reduce MTTR, and prevent incidents.
Key Responsibilities:
- Analyze wireless network alarm data from OSS, NMS, and EMS systems across RAN, Core, and IEN domains.
- Identify patterns, trends, and recurring fault signatures.
- Develop KPIs and metrics to track network health, fault trends, availability, and reliability.
- Build machine learning models for alarm correlation, noise reduction, and false-positive suppression.
- Develop root cause analysis (RCA), anomaly detection, and predictive fault/failure forecasting models.
- Apply supervised and unsupervised learning techniques (clustering, classification, time-series analysis).
- Clean, normalize, enrich, and preprocess alarm and event data from multiple sources.
- Integrate data from OSS, EMS, NMS, CMDB, and performance management systems.
- Automate data pipelines, fault analytics workflows, and model deployment processes.
- Work with real-time and batch data processing platforms (Spark, streaming technologies).
- Design and maintain interactive dashboards and reports for real-time fault monitoring and analysis.
- Visualize insights using tools like Tableau, Power BI, Grafana, or Python visualization libraries.
- Present analytical findings clearly to technical and non-technical stakeholders.
- Collaborate closely with NOC, Network Engineering, Reliability, and Operations teams.
- Translate analytical insights into actionable operational recommendations.
- Support proactive maintenance, incident prevention, and MTTR reduction initiatives.
- Develop solutions using Python and R, leveraging libraries such as Pandas, NumPy, Scikit-learn, and PySpark.
- Query and analyze data using SQL and big data platforms (Spark, Hadoop).
Required Skills and Experience:
- Strong understanding of wireless network technologies (2G, 3G, 4G, 5G, RAN, Core networks).
- Knowledge of IEN, IP, and Ethernet networking concepts.
- Familiarity with network alarms, fault management processes, and OSS/NMS platforms.
- Experience with reliability and operations metrics (SLA, MTTR, availability, service performance).
- Proficiency in Python and R, including libraries like Pandas, NumPy, Scikit-learn, PySpark.
- Experience with SQL and big data platforms (Spark, Hadoop).
- Experience with data visualization tools (Tableau, Power BI, Grafana).
- Strong analytical and problem-solving skills.
- Ability to work effectively in cross-functional operational environments.
- Experience in developing alarm correlation and RCA models.
- Experience in producing predictive fault alerts.
- Experience in delivering operational dashboards, documentation, and model performance reports.
Qualifications:
- Bachelor’s degree in Telecommunications, Computer Science, Engineering, or a related field, or equivalent practical experience.
- Proven experience in telecom network analysis and data science.
Contract Details:
- Duration: 6 months
- Location: Basking Ridge, NJ
About the Company:
Intellisoft Technologies INC is a leading IT staffing and consulting firm dedicated to connecting top talent with innovative companies. We specialize in providing skilled professionals for a wide range of technology roles.
Compensation & Location
Salary: $80,000 – $120,000 per year (Estimated)
Location: Basking Ridge, NJ
Recruiter / Company – Contact Information
Email: rma@intellisofttech.com
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