Cloud Full Stack MLOps Engineer

Ontario Brain Institute • Toronto, ON

3d

About The Position

OBI is seeking a Cloud Full Stack MLOps Engineer to design, develop, deploy, and support cloud-based web applications and machine learning operations (MLOps) capabilities that enable Centre for Analytics (CfA) products and services. Reporting to the Head, Centre for Analytics, this role partners with cross-functional stakeholders to deliver secure, scalable solutions, automate data/model pipelines, and maintain production readiness through documentation, monitoring, and operational support.

Requirements

• Bachelor’s degree in computer science, software engineering, data science, or a related field, or an equivalent combination of education and experience.
• 5+ years of professional experience in software engineering, including delivery of production web applications and services.
• Demonstrated experience developing modern web applications (Python; React and/or Vue.js preferred).
• Proficiency with front-end user interface development and back-end services, including database integration.
• Hands-on experience deploying and operating ML models in production, including versioning and containerization.
• Experience developing data ingestion and processing pipelines (ETL/ELT), including custom data loaders.
• Experience working in cloud environments with CPU/GPU and distributed/grid computing (Microsoft Azure preferred).
• Experience delivering software in an Agile/Scrum environment, with strong collaboration and communication skills.
• Demonstrated experience supporting cloud MLOps deployments and operations for model lifecycle management (e.g., CI/CD for ML, model registries, experiment tracking, and monitoring).
• Experience applying engineering best practices, including source control, code review, automated testing, and CI/CD (GitHub experience preferred).
• Experience with Azure services (e.g., compute, storage, networking, identity) and deploying production workloads to Azure.
• Familiarity with security, privacy, and compliance practices for cloud applications (e.g., secure SDLC, threat modeling, vulnerability management).
• Experience supporting regulated or research environments requiring auditability and traceability.

Nice To Haves

• React and/or Vue.js preferred
• GitHub experience preferred
• Microsoft Azure preferred

Responsibilities

• Design, develop, enhance, and maintain CfA cloud-based web applications software and supporting services.
• Support the productization of CfA applications and services for third-party use, including deployment and operational readiness.
• Implement and support MLOps capabilities, including data pipelines, model packaging, deployment, monitoring, and versioning.
• Support federated learning (FL) data and model deployment workflows and associated web applications, as applicable.
• Provide timely technical support to application users; triage issues, resolve incidents, and coordinate fixes with the development team.
• Develop and maintain technical documentation, including architecture, runbooks, and user guidance.
• Participate in application security audits, access reviews, and incident-response drills; implement remediation actions as needed.
• Work closely with other cloud team members to ensure secure and robust cloud resources are configured and and managed with high standards.

Benefits

• Accommodations for applicants at any stage of the recruitment and hiring process

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1-10 employees