Cibc
Director, Enterprise Machine Learning Frameworks & Operations
Toronto, ON · Director
Work authorization requiredDetected 21 days ago
ExpressDistributed SystemsAlgorithmsCode ReviewDatabricksAzureCloud PlatformsKubernetesCI/CDDevOpsPlatform EngineeringMachine LearningNLPLLMsRAGLLMOpsMLOpsStatisticsA/B TestingStakeholder ManagementNegotiationRecruitingLeadershipCollaboration
About the role
- We need talented, passionate professionals who are dedicated to doing what's right for our clients.
- Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.
- This role is pivotal in establishing AI at scale by driving operational efficiency, reliability, and compliance throughout the entire model development lifecycle (from experimentation to production deployment).
Responsibilities
- Success will be measured by your ability to define and standardize technical activities, mature operational practices, and drive measurable business impact and stakeholder adoption.
- Technical Leadership and Contribution - Translate strategic capability roadmaps into actionable technical deliverables, including the design and implementation of CI/CD pipelines, end-to-end MLOps workflows, and automated ML pipelines for data ingestion, training, validation, and deployment.
- Oversee the development of enterprise-grade, production-ready, and standardized MLOps capabilities to support scalable and reliable AI delivery across the organization.
- Drive the creation of reusable frameworks, platform services, engineering standards, and deployment patterns that accelerate AI delivery while reducing operational complexity and duplication across teams.
- Stakeholder Management and Collaboration - Build strong relationships and collaborate with business partners, technology teams, and cross-functional stakeholders to gather requirements, prioritize initiatives, and align MLOps solutions with business objectives.
- Partner with AI governance, Compliance, and technology teams to ensure all solutions adhere to regulatory and internal standards.
- MLOps/ LLMOps Development and Production Deployments- Lead the end to end model deployment pipeline management.
- Develop and sustain production-ready deployments (including support for APIs and open-source models).
- Partner with AI and Enterprise technology teams to ensure alignment on reusable technology components across all use cases, incorporating compliance requirements early to avoid delays, and maintaining lineage and version tracking.
- Assess models to prevent performance degradation and establishing monitoring frameworks to analyze inference latency, optimize token usage, and detect potential hallucinations in real time
Requirements
- You can demonstrate 8+ years of experience in software engineering, platform engineering, data platforms, AI/ML engineering, or MLOps, with at least 2 years in a leadership role.
- Proven track record delivering scalable ML platforms in a highly regulated environment.
- It's an asset if you have experience in financial services or other regulated industries.
- You have relevant knowledge and deep expertise with cloud-native architectures and technologies (e.g., Azure ML, Databricks, Kubernetes).
- Expertise with CI/CD, monitoring, model governance, and observability frameworks.
- You have a degree in.
- You have experience partnering with model risk, audit, and data governance teams.
- We cultivate a culture where you can express your ambition through initiatives like Purpose Day
- We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).
Compensation
- We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing
Benefits
- Champion a culture of innovation, collaboration, and continuous learning within the MLOps team and across the enterprise.
Company info
- At CIBC we enable the work environment most optimal for you to thrive in your role.
- You bring your real self to work and you live our values - trust, teamwork, and accountability.
- application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.
Equal opportunity
- If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com
This listing is sourced directly from Cibc's careers page and normalized into a canonical job model.