Build ML-ready infrastructure and scalable pipelines as a Staff ML Data Engineer with RBC Wealth Management in Toronto, supporting AI and analytics.This Staff-level role bridges machine learning and traditional data engineering across Wealth Management Data & AI. You will prepare feature stores, training datasets, and production data infrastructure while supporting analytics-ready pipelines. Your work contributes to investment capabilities, operational improvements, client experience, and executive decision-making.Key Responsibilities: Architect reliable data foundations for AI/ML and BI workloadsBuild feature stores, training datasets, and ML infrastructureDevelop pipelines across ingestion, feature engineering,



and model servingImplement MCP and API integrations with production systemsMonitor pipelines and models for reliability and complianceRequirements: Bachelor’s degree in a related technical fieldFive-plus years in ML data engineering or related rolesStrong Python, SQL, MCP, API, and pipeline experienceExperience with Databricks, Snowflake, Spark, and cloud servicesKnowledge of feature stores, RAG, vector databases, and LLM servingApply staff-level data engineering expertise across Python, SQL, ML infrastructure, and up-to-date cloud platforms at RBC Wealth Management. #J-18808-Ljbffr

📌 Staff Ml Data Engineer Toronto
🏢 ODAIA
📍 Toronto