AI-Driven Telecom Analytics Architect

Ericsson GmbH

Toronto

On-site

CAD 100,000 - 131,000

Full time

10 days ago
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Benefits offered by this job

Health benefits
Pension plan
Stock Purchase Plan
Paid time off

Job summary

Ericsson Canada Inc. is seeking a Solution Architect to lead analytics design for telecom networks in Canada. You will specialize in 4G/5G/IMS signaling, transform telemetry into actionable insights, and craft end-to-end data architectures spanning ingestion to analytics.

Practical AI/ML experience and cloud-native skills are highly valued. The role involves guiding engineering teams, engaging with customers, and shaping observable, automated telecom solutions.

Qualifications

  • Bachelor's degree in electrical engineering, computer science or related field.
  • Hands-on experience with telecom monitoring ecosystems and probes.
  • Strong knowledge of 4G/5G/IMS signaling and network interactions.
  • Experience translating network events into actionable analytics insights.
  • Experience designing end-to-end data pipelines for real-time environments.

Responsibilities

  • Act as SME in telecom call flows and signaling to design analytics solutions.
  • Transform probe data and telemetry into analytics use cases.
  • Design end-to-end data architectures for ingestion, processing and analytics.
  • Advance AI-enabled solutions for observability and automation.
  • Provide guidance to engineering and delivery teams for implementation.

Skills

4G/5G/IMS signaling
Python
DevOps CI/CD
Cloud platforms (Azure/AWS/GCP)
Data analytics
Telecom monitoring

Education

Bachelor's degree in electrical engineering, computer science or related field

Tools

Databricks
Elasticsearch
Vertica
Hadoop

Job description

Ericsson Canada Inc. is seeking a Solution Architect to lead analytics design for telecom networks in Canada. You will specialize in 4G/5G/IMS signaling, transform telemetry into actionable insights, and craft end-to-end data architectures spanning ingestion to analytics.

Practical AI/ML experience and cloud-native skills are highly valued. The role involves guiding engineering teams, engaging with customers, and shaping observable, automated telecom solutions.

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