Director, Enterprise Machine Learning Frameworks & Operations (MLOps/LLMOps)

Location: Toronto, ON, Canada; hybrid arrangement with 1–3 days per week on-site at Toronto-81 Bay

Company

Financial services organization building relationship-oriented banking services for the modern world.

What you will do

• Lead the design, development, and scaling of enterprise-wide MLOps and LLMOps capabilities across multiple lines of business.
• Design and implement CI/CD pipelines, end-to-end MLOps workflows, and automated pipelines for data ingestion, training, validation, and deployment.
• Build reusable frameworks, platform services, reference architectures, deployment patterns, and engineering standards for traditional ML and LLM use cases.
• Lead production model deployments, including API and open-source model support, RAG pipelines, lineage, and version tracking.
• Establish monitoring for model performance, inference latency, token usage, and potential hallucinations while maintaining audit-ready processes.
• Partner with business, technology, AI governance, Compliance, model risk, audit, and data governance stakeholders; mentor teams on MLOps practices.

Requirements

• 8+ years of experience in software engineering, platform engineering, data platforms, AI/ML engineering, or MLOps, including at least 2 years in a leadership role.
• Experience delivering scalable ML platforms in highly regulated environments; financial services experience is an asset.
• Deep expertise in cloud-native architectures and technologies such as Azure ML, Databricks, and Kubernetes.
• Expertise with CI/CD, monitoring, model governance, observability, distributed systems, and production-grade platform engineering.
• Degree in Computer Science, Statistics, Engineering, or a related field.
• Legal eligibility to work in Canada at the specified location, with a valid work or study permit where applicable.

Nice to have

• Experience in financial services or another regulated industry.
• Experience partnering with model risk, audit, and data governance teams.

Culture & Benefits

• Hybrid work environment with flexibility to manage work activities.
• Competitive salary and incentive pay.
• Banking benefits, a benefits program, defined benefit pension plan, and employee share purchase plan.
• Vacation offering, wellbeing support, and personalized recognition through MomentMakers.
• Paid Purpose Day supporting personal growth and development.
• Inclusive and accessible candidate and workplace experience.

Hiring process

• Potential attribute-based assessment and skills testing, including simulation, coding, or French proficiency assessments.
• Artificial intelligence tools may be used during the recruitment process.