Job ID: JOB_ID_5710
Job Summary:
We are seeking a skilled Telecom Network Engineer with expertise in Python/ML and 5G Wireless Networks for a 6-month contract role in Basking Ridge, NJ. The ideal candidate will analyze large-scale wireless network alarm data, identify patterns, and develop machine learning models for fault prediction and correlation. This role requires a strong understanding of wireless network technologies and data analysis tools.
Key Responsibilities:
- Analyze large-scale wireless network alarm data across RAN, Core, and IEN domains from OSS, NMS, and EMS systems.
- Identify patterns, trends, and recurring fault signatures across multiple network domains.
- 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 and failure forecasting models.
- Apply supervised and unsupervised learning techniques, including clustering, classification, and 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, including Spark and streaming technologies.
- Design and maintain interactive dashboards and reports for real-time fault monitoring and analysis.
- Visualize insights using tools such as Tableau, Power BI, Grafana, or Python visualization libraries.
- Present analytical findings clearly to both 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 such as Spark and Hadoop.
- Apply strong understanding of wireless network technologies, including 2G, 3G, 4G, 5G, RAN, and Core networks.
- Apply knowledge of IEN, IP, and Ethernet networking concepts.
- Leverage familiarity with network alarms, fault management processes, and OSS/NMS platforms.
- Apply reliability and operations metrics including SLA, MTTR, availability, and service performance.
- Work effectively in cross-functional operational environments with strong analytical and problem-solving skills.
- Develop and deliver alarm correlation and RCA models that reduce false positives.
- Produce predictive fault alerts to enable proactive maintenance.
- Deliver operational dashboards, documentation, and model performance reports for NOC and engineering teams.
Qualifications:
- Proven experience as a Telecom Network Engineer or similar role.
- Strong proficiency in Python and R for data analysis and machine learning.
- Experience with ML libraries such as Scikit-learn, Pandas, NumPy, and PySpark.
- Familiarity with big data platforms like Spark and Hadoop.
- Solid understanding of wireless network technologies (2G, 3G, 4G, 5G, RAN, Core).
- Knowledge of IEN, IP, and Ethernet networking concepts.
- Experience with network alarms, fault management, and OSS/NMS platforms.
- Proficiency in SQL for data querying.
- Experience with data visualization tools (Tableau, Power BI, Grafana).
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities.
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Special Requirements
Contract duration: 6 Months. Interview modes: Not specified. Domain restrictions: Not specified. Visa constraints: Not specified.
Compensation & Location
Salary: $60 – $85 per year (Estimated)
Location: Basking Ridge, NJ
Recruiter / Company – Contact Information
Email: oj.a@siriinfoinc.com
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