Requisition ID: 227526
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
Join Scotiabank’s purpose-driven, high-performing team where innovation meets impact. We are looking for a Senior MLOps Engineer, AI Experience with a proven track record of Spring and Python who have worked with agentic AI and data engineering and have deployed cloud-native applications in production.

QUALIFICATIONS

• 7+ years of proven leadership in designing data pipelines and real-time systems.
• Strong architectural skills in data modeling and warehouse integrations.
• Experience driving adoption of IaC and CI/CD best practices.
• Expertise in data quality, lineage, and cataloging.
• Knowledge of privacy regulations (GDPR, PIPEDA).
• Ability to partner with AI/ML teams for RAG and agentic systems.
• Proficiency in platform observability and cloud deployments.
• Strategic thinking in governance frameworks and data architecture.
• Mentorship and thought leadership experience.

• Architect and implement scalable batch and streaming pipelines for structured and unstructured data.
• Design and maintain dimensional and analytical data models to support ML workflows, including LLM training and inference.
• Lead ELT orchestration using Airflow and DBT for complex AI/ML pipelines.
• Integrate and manage data across BigQuery, Delta Lake, and Databricks environments.
• Collaborate with AI/ML teams to version, serve, and monitor datasets for fine-tuning and inference.
• Build and optimize feature pipelines and data services for RAG-based and agentic AI systems.
• Champion CI/CD, observability, and monitoring best practices for data infrastructure.
• Ensure secure, compliant, and scalable data platforms across Azure and GCP.