L4 Data Management (AI / ML Specialist / Developer) - Network Automation

L4 Data Management (AI / ML Specialist / Developer) - Network Automation

Join TELUS Technology's Network Automation and Intelligence team, where we're revolutionizing how Canada's leading telecommunications network operates. We're a dynamic group of software developers and network specialists who are building the intelligent, self-healing network of tomorrow.

Our mission? To leverage cutting‑edge AI and machine learning to predict network issues before they happen, optimize performance in real‑time, and deliver exceptional experiences to millions of Canadians.

As part of our team, you'll be at the intersection of telecommunications and artificial intelligence, working on problems that directly impact network reliability, efficiency, and innovation. We're not just maintaining infrastructure—we're building intelligent systems that learn, adapt, and evolve. Your work will power everything from predictive maintenance algorithms that prevent outages to ML models that optimize network traffic across our national infrastructure. If you're passionate about applying AI to solve real‑world problems at massive scale, this is where you belong.

What You'll Do

• Design and develop end-to-end ML / AI pipelines that process terabytes of network telemetry data to predict failures, optimize performance, and automate network operations
• Build and optimize robust ETL / ELT workflows using GCP tools (Dataflow, Dataproc, Cloud Composer) to ingest, transform, and prepare network data from diverse sources for ML model training and inference
• Implement and maintain AI integration protocols including MCP (Model Context Protocol) servers to enable seamless communication between AI models and network data sources, tools, and external systems
• Collaborate with network engineering teams, data scientists, and platform architects to identify automation opportunities and translate business requirements into scalable AI solutions
• Create and deploy production‑grade machine learning models for network anomaly detection, capacity forecasting, and intelligent routing optimization
• Develop standardized protocols and APIs for AI model serving, ensuring efficient context sharing and tool integration across distributed network automation systems
• Partner with DevOps and MLOps teams to implement CI / CD pipelines for model deployment, monitoring, and continuous improvement in GCP environments
• Build data quality frameworks and monitoring systems to ensure the reliability and accuracy of data flowing through our ML pipelines
• Drive the adoption of best practices in feature engineering, model versioning, experiment tracking, and protocol‑based AI integrations across the network automation domain
• Analyze complex network datasets using advanced statistical methods and ML techniques to uncover insights that inform strategic network planning decisions
• Support the migration and modernization of legacy data systems to cloud‑native architectures, ensuring scalability and performance
• Influence technical strategy by staying current with emerging AI / ML technologies, protocols, and recommending innovative approaches to network automation challenges

What You Bring

Great-to-haves

Location : Anywhere in Canada # LI-Remote

Seniority level : Not Applicable

Employment type : Full‑time

Job function : Other

Industries : IT Services and IT Consulting, Telecommunications, and Utilities

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