AI/ML DevOps Engineer

CI Financial; Toronto; On-site; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Training Reimbursement

Paid Professional Designations

Employee Savings Plan

Parental Leave Top–up

Corporate Discount Program

Job summary

CI Financial is seeking an experienced AI/ML DevOps Engineer to operationalize Gen AI and ML solutions. You will build and maintain reliable CI/CD pipelines and production environments, collaborating with data scientists, AI engineers, and data engineers to move AI solutions from prototype to production while meeting enterprise standards for reliability, security, and performance.

The role focuses on end-to-end AI solution delivery, CI/CD enablement on Snowflake and cloud platforms, and ensuring

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline, or equivalent professional experience.
• 5–7 years of experience in DevOps, software engineering, platform engineering, or MLOps-related roles.
• Strong understanding of CI/CD concepts, release practices, and operational support in production environments.
• Hands-on experience building CI/CD pipelines with Jenkins and source control using Bitbucket (or equivalent).
• Proven experience deploying and supporting production systems.
• Experience working with data or AI platforms (e.g., Snowflake or equivalent), or strong interest in learning new platforms.

Responsibilities

• Enable end-to-end delivery of AI, ML, and GenAI solutions from experimentation to scalable production.
• Collaborate with data scientists, AI engineers, data engineers, and data ops teams to move solutions to production-ready delivery.
• Support AI solution patterns such as RAG, search-driven apps, and AI-assisted workflows.
• Contribute to reusable deployment templates and cross-team acceleration for multiple AI initiatives.
• Support production deployments on Snowflake and cloud platforms with automated releases and environment separation.
• Build and maintain CI/CD pipelines using Jenkins and Bitbucket to deploy AI/ML and data-driven apps.

Skills

Python

Bash

CI/CD concepts

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical discipline

Tools

Jenkins

Bitbucket

Docker

Snowflake

Job description

At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to grow through stretching themselves, where they can work on innovative products and projects, and where employees are supported and engaged in doing so.

CI Financial is seeking an experienced AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by building and maintaining reliable CI/CD pipelines and production environments that support scalable AI applications. You will work closely with data scientists, AI engineers and data engineers to move AI solutions from prototype to production while meeting enterprise standards for reliability, security, and performance.

Key Responsibilities AI Solution Delivery & Production Deployment

• Enable the end-to-end delivery of AI, ML, and GenAI solutions, supporting use cases from early experimentation through scalable production.
• Partner with data scientists, AI engineers, data engineers, and data ops teams to move solutions from prototype to production-ready delivery.
• Support common AI solution patterns such as retrieval-augmented generation (RAG), search-driven applications, and AI-assisted or agent-based workflows.
• Contribute to reusable deployment approaches and solution templates that accelerate delivery across multiple AI initiatives.

CI/CD & Release Engineering (DevOps / MLOps Enablement)

• Support production deployments on Snowflake and cloud platforms (AWS or equivalent), including automated releases and environment separation.
• Build and maintain CI/CD pipelines using Jenkins and Bitbucket (or equivalent) to deploy AI/ML and data-driven applications.
• Support release practices including environment separation, deployment automation, and safe promotion across dev/test/prod.

Reliability, Monitoring & Operational Excellence (AIOps Mindset)

• Improve production readiness through monitoring, alerting, logging, deployment validation, and operational best practices.
• Troubleshoot production issues across pipelines, integrations, and AI applications; drive root-cause remediation and preventive improvements.
• Ensure solutions meet enterprise standards for security, stability, performance, and reliability.

Qualifications Education:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline, or equivalent professional experience.

Experience

• 5–7 years of experience in DevOps, software engineering, platform engineering, or MLOps-related roles.
• Strong understanding of CI/CD concepts, release practices, and operational support in production environments.
• Hands-on experience building CI/CD pipelines with Jenkins and source control using Bitbucket (or equivalent).
• Proven experience deploying and supporting production systems.
• Experience working with data or AI platforms (e.g., Snowflake or equivalent), or strong interest in learning new platforms.
• Experience collaborating with AI/ML and data engineering teams to operationalize AI-driven applications and data-intensive workflows.
• Proficiency in Python, Bash, or similar scripting/programming languages.
• Familiarity with containerized environments (Docker).

Preferred Qualifications

• Experience deploying AI or data-driven applications, including APIs, services, or lightweight user interfaces (e.g., Streamlit, React).
• Experience with integrations, authentication/authorization, and secure connectivity (e.g., SSO/OAuth, service accounts, API integrations).
• Exposure to Tableau or analytics/BI tools.
• Experience in financial services, fintech, or investment management.

This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs.

CI Financial is an independent company offering global wealth management and asset management advisory services through diverse financial services firms. Since 1965, we have consistently anticipated and responded to the changing needs of investors. We are driven by a commitment to provide individuals and institutions with the highest-quality investments and advice. Our commitment to the highest levels of performance means that whatever their position, CI employees must be comfortable in a fast-paced environment that will stretch them to tap into their highest potential. Employees with a healthy dose of ambition, a desire to commit to a curious mindset for continuous learning, and a willingness to go the extra mile thrive at CI.

A Supportive Environment for Success

We offer an in-office environment, competitive benefits, and a supportive workplace to help our employees thrive both personally and professionally.

What We Offer

• Modern HQ location within walking distance from Union Station
• Training Reimbursement
• Paid Professional Designations
• Employee Savings Plan (ESP)
• Corporate Discount Program
• Enhanced group benefits
• Parental Leave Top–up program
• Paid time off for Volunteering

We are focused on building a diverse and inclusive workforce.

CI Financial Corp. and all of our affiliates (“CI”) are committed to fair and accessible employment practices and provide reasonable accommodations for persons with disabilities. If you require accommodations in order to apply for any job opportunities, require this posting in an additional format, or require accommodation at any stage of the recruitment process please contact us at [e-mail], or call 416-364-1145 ext. 4747.