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

Note: The job is a remote job and is open to candidates in USA. TELUS is revolutionizing how Canada's leading telecommunications network operates through its Network Automation and Intelligence team. The role involves designing and developing ML/AI pipelines to predict failures and optimize network performance while collaborating with various teams to implement scalable AI solutions. Responsibilities • 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 Skills • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Engineering, or related technical field • 3+ years of hands-on experience developing and deploying machine learning models in production environments • Deep understanding of ML/AI concepts including supervised/unsupervised learning, deep learning, time-series forecasting, and anomaly detection • Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost) • Proven experience designing and implementing ETL/ELT pipelines for large-scale data processing • Solid expertise with GCP services including BigQuery, Cloud Storage, Vertex AI, Dataflow, Pub/Sub, and Cloud Functions • Experience with SQL and NoSQL databases (BigQuery, Cloud SQL, Firestore, or similar) • Strong understanding of data modeling, data warehousing concepts, and dimensional modeling • Knowledge of API design, RESTful services, and communication protocols for AI/ML systems • Demonstrated ability to write clean, maintainable, production-quality code with proper testing and documentation • Excellent problem-solving skills with the ability to translate complex business problems into technical solutions • Experience implementing MCP (Model Context Protocol) servers or similar AI integration protocols for context management and tool orchestration • Familiarity with telecommunications networks, network protocols (SNMP, NetFlow, gRPC), or infrastructure monitoring systems • Knowledge of MLOps practices and tools (Kubeflow, MLflow, Airflow) for model lifecycle management and real-time streaming data processing in network environments Company Overview • Second largest Canadian telecommunications company. Provides wireless phone service, high speed Internet, IPTV, home phone, long distance, It was founded in 1990, and is headquartered in Vancouver, British Columbia, CAN, with a workforce of 10001+ employees. Its website is Apply tot his job