Senior AI/ML Engineer

We are seeking a seasoned and strategic Senior AI/ML Engineer to join our Global Wealth Management Technology (GWMT) team. This role is ideal for a hands-on engineer with 5–7 years of experience in building scalable AI/ML systems, enabling production-grade workflows, and mentoring junior engineers. You will drive innovation at the intersection of financial data, cloud infrastructure, and advanced machine learning. Key Responsibilities: Lead the development, deployment, and monitoring of complex AI/ML models, including deep learning and natural language applications. Build and manage scalable ML pipelines using tools like Airflow, dbt, or Google Dataflow for both batch and streaming data workloads. Architect and optimize data workflows using modern data warehousing and lake technologies such as Databricks, BigQuery, Synapse, and Delta Lake. Design and operate real-time pipelines using Kafka, Pub/Sub, or similar event-streaming platforms. Implement and maintain robust CI/CD processes for ML using MLflow, Kubeflow, or equivalent orchestration tools. Develop and deploy models on cloud-native infrastructure using Azure ML, Vertex AI, Docker, and Kubernetes. Apply MLOps best practices for versioning, monitoring, retraining, and explainability. Mentor L7 engineers, support code reviews, and contribute to a collaborative engineering culture. Ensure secure model development, including encryption, RBAC, and compliance with GDPR, PIPEDA, and GLBA. Collaborate with data engineers, architects, and product teams to translate financial business problems into machine learning solutions.

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.