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Added 1 min ago
RE
Data Architect
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Hands-On Technical Leadership: Set the technical direction for Rodan's Databricks data platform while staying hands-on with the pipelines, building on the ingestion foundation already in…
Added 1 hour ago
EN
Senior Forward Deployed Engineer (10570) Toronto, Canada
Extreme Networks
Toronto, ON
- Full-time
Strong hands-on software development experience with proficiency in one or more general-purpose programming languages such as Python, Java, Go, TypeScript, C#, or C++.
Added 1 hour ago
AM
Salesforce AI & Data Cloud Solutions Engineer
AGF Management
Toronto, ON
- Full-time
We are seeking a hands-on Data Engineer to own both the underlying CRM data foundation and the Data360 platform. The role will design, build, govern, and support scalable data models,…
Added 1 hour ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- Full-time
At least 6 years of hands-on development experience preferably using Java, Python, Go or other object-oriented programming languages
Added 2 hours ago
M
Network Engineer
Moneris
Toronto, ON
- Full-time
Moneris is seeking a highly skilled Network Engineer to design, implement, automate, and support the enterprise network infrastructure that powers our business and payment processing…
Added 2 hours ago
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Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
We’re hiring a Senior Machine Learning Engineer to architect, build, and deploy high-performance machine learning systems that power technology stack. You will work across the entire ML…
Added 2 hours ago
Senior Backend Product Developer, SCM Tech Fulfillment
HelloFresh
Toronto, ON
…preparing for expansion, we are looking for a Senior Software Engineer with strong backend experience, a talent for turning complex logic into clean, reliable systems, and enough full-stack…
Added 2 hours ago
V
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu
Calgary, AB
- Full-time
As a Forward Deployed Engineer - AI Solutions at VistaVu Solutions, you will work alongside customers to understand their business problems, learn how their teams operate, and build AI…
Added 2 hours ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
…role requires a blend of strategic architecture leadership and hands-on technical expertise to deliver scalable, secure, and production-ready AI…
Added 2 hours ago
A
Python AI Engineer
Apptad
Toronto, ON
- Full-time
Design, develop, and maintain scalable backend applications using Python.
Added 2 hours ago
P
JAMS Platform Engineer
ProwessSoft
Toronto, ON
- Contract
Seeking a hands-on engineer to drive the reliability| automation and modernization of the enterprise JAMS workload automation platform. The role combines JAMS platform expertise with…
Added 2 hours ago
VS
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu Solutions
Calgary, AB
- Full-time
As a Forward Deployed Engineer - AI Solutions at VistaVu Solutions, you will work alongside customers to understand their business problems, learn how their teams operate, and build AI…
Added 2 hours ago
Senior Data Warehouse Engineer
Capgemini
Montreal, QC
We are seeking a experienced and results-oriented Senior Data Warehouse Engineer to work our data warehouse modernization and performance optimization initiatives. The ideal candidate will…
Added 2 hours ago
CF
AI/ML DevOps Engineer
CI Financial
Toronto, ON
- Full-time
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…
Added 3 hours ago
AI
Machine Learning Engineer- AWS SageMaker
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
The ideal candidate should have hands-on experience with AWS SageMaker, SageMaker Feature Store, MLOps frameworks, and Python development. The resource will be responsible for designing and…
Added 3 hours ago
Intermediate Site Reliability Engineer
ContactMonkey
Toronto, ON
Our mission is to power measurable employee engagement worldwide, and we're looking for an Intermediate Site Reliability Engineer to join our Engineering team.
Added 4 hours ago
M
Data Specialist
McKesson
Mississauga, ON
- Full-time
McKesson Provider Solutions is seeking a highly motivated and hands-on Data Specialist to support the design, development, and optimization of enterprise-scale healthcare data platforms.…
Added 4 hours ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $150,000 CAD / year
- Full-time
We are hiring a Senior Systems Engineer to join our Infrastructure & Operations team. This is a senior, hands-on infrastructure role focused on Linux systems, virtualization, physical and…
Added 4 hours ago
E
Full Stack Engineer, SE3
eBay
Toronto, ON
- Full-time
We are seeking a Full Stack Engineer with to help redefine and elevate the Goldin platform. In this role, you’ll work across the stack, collaborating with high-velocity teams to design,…
Added 4 hours ago
EG
Rail Requirements Management Specialist
Egis Group
Toronto, ON
- $120,000 to $140,000 CAD / year
- Full-time
…and external stakeholders with client facing delivery to gain hands-on experience in a real-world engineering…
Added 4 hours ago
LI
Senior AWS SageMaker Engineer
LanceSoft, Inc.
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Strong hands-on experience with AWS cloud services
Added 4 hours ago
RC
MLOps Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
The ideal candidate should have hands-on experience with AWS SageMaker, SageMaker Feature Store, MLOps frameworks, and Python development. The resource will be responsible for designing and…
Added 4 hours ago
EI
Rail Requirements Management Specialist
Egis in Canada
Toronto, ON
- $120,000 to $140,000 CAD / year
- Full-time
…and external stakeholders with client facing delivery to gain hands-on experience in a real-world engineering…
Added 5 hours ago
AI
Software Architect
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…collaborate with development engineers, the cloud & deployment engineer, and external partners to drive architectural decisions and ensure a robust, scalable, and secure product. You will…
Added 5 hours ago
AI
Senior AWS SageMaker / MLOps Engineer
Apptoza Inc.
Toronto, ON
- Contract
The ideal candidate should have hands-on experience with AWS SageMaker, SageMaker Feature Store, MLOps frameworks, and Python development. The resource will be responsible for designing and…

CI Financial

AI/ML DevOps Engineer

Toronto, ON, Canada

The anticipated base salary range for this position is $69,500 - $119,500. · Full-time

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Job details

Pay: The anticipated base salary range for this position is $69,500 - $119,500.
Job type: Full-time
Apply by: Oct 18, 2026
Experience: 5–7 years of experience in DevOps, software engineering, platform engineering, or MLOps-related roles.
Posting language: English
Posted: Oct 8, 2026

Original 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 opportunity is for an existing vacancy with the company. The anticipated base salary range for this position is $69,500 - $119,500. Exact salary depends on several factors such as experience, skills, education, and budget. Salary range may vary based on geographic location. In addition to base salary, this position is eligible for participation in a bonus program. In addition, The Company offers a variety of benefits to eligible employees, including health insurance coverage, wellness programs, life and disability insurance, retirement savings plans, paid leave programs, education-related programs, paid holidays and vacation time, and many others. Many of these benefits are subsidized or fully paid for by the company.

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. If you are excited about this role and are not confident you meet all the qualification requirements, we encourage you to apply to investigate the opportunity further.

Please submit your resume in confidence by clicking “Apply”. Only qualified candidates selected for an interview will be contacted. 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 accessible.recruitment@ci.com, or call 416-364-1145 ext. 4747.

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More about this job

Responsibilities

Operationalize AI, machine learning, and generative AI solutions by building and maintaining CI/CD pipelines and production environments, and by supporting deployments on Snowflake and cloud platforms. Collaborate with data and AI teams to move solutions from prototypes to production, improve monitoring and reliability, and troubleshoot issues while meeting enterprise security and performance standards.

Requirements

Candidates should have 5–7 years of experience in DevOps, software or platform engineering, or MLOps, with hands-on experience in CI/CD pipelines, Jenkins, Bitbucket or equivalent tools, and production systems. A bachelor’s degree in a relevant technical discipline or equivalent experience is required, along with scripting proficiency and familiarity with Docker; experience with Snowflake or similar platforms is also sought.

Skills

DevOps
MLOps
CI/CD
Jenkins
Bitbucket
Python
Bash
Docker
Snowflake
AWS
Machine Learning
Generative AI
Retrieval-Augmented Generation
Monitoring and Alerting
Production Deployment
Security

Benefits

Health Insurance
Wellness Programs
Life Insurance
Disability Insurance
Retirement Savings Plans
Paid Leave
Education-Related Programs
Paid Holidays
Vacation Time
Training Reimbursement
Employee Savings Plan
Corporate Discounts
Enhanced Group Benefits
Parental Leave Top-Up
Paid Volunteer Time
Bonus Program

Visa sponsorship

Not detected in the job text

Keywords

DevOps
MLOps
CI/CD Pipelines
Jenkins
Bitbucket
Snowflake
AWS
Python
Bash
Docker
Artificial Intelligence
Machine Learning
Generative AI
Retrieval-Augmented Generation
Search-Driven Applications
Agent-Based Workflows
Production Deployment
Release Engineering
Environment Separation
Monitoring
Alerting
Logging
Root-Cause Analysis
APIs
Streamlit
React
SSO
OAuth
Service Accounts
Financial Services

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