Python AI Engineering – Mississauga

This role involves designing and maintaining scalable AI agents, data pipelines, and microservice integrations within a large-scale data ecosystem. Candidates should have extensive experience with Python, PySpark, and Databricks, as well as knowledge of AI model deployment using platforms like Google ADK and Google Flash. Responsibilities include developing data federation layers, supporting AI use cases, and ensuring data quality and security throughout the data lifecycle. The role demands strong problem-solving skills, proficient communication, and technical expertise in data architecture and cloud-native environments. Familiarity with containerisation, cloud platforms, and AI/ML techniques is highly valued. The position requires a strong background in data engineering, architecture, and application development in a financial services context.