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Added 14 mins ago
HC
Research Engineer
Human Computer Lab
Remote, Canada
- Full-time
- Remote
…stack or a new robot body after that. You'll work directly with the CEO and founding team, with real room to explore, on problems that ship to people's…
Added 14 mins ago
M
Senior Software Engineer, Device & Data Platform
Mecka
Richmond Hill, ON
- $180,000 to $210,000 CAD / year
- Full-time
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
Added 14 mins ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer
Added 28 mins ago
A
Senior Verification Engineer - Security
Arm
Toronto, ON
- Full-time
As a creative problem solving Security and Embedded Processor Verification Engineer, you will be part of a team that will define and realize the Hardware Security IP and Subsystem. We will…
Added 29 mins ago
Senior Software Engineer, Web3 Backend
Robinhood
Toronto, ON
Proficiency in Go or Python, with exceptional technical grasp with problem-solving and production debugging skills.
Added 44 mins 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 44 mins ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
Write clean, object-oriented, and modular production code. Transition models from Python research environments to high-performance serving environments (packaging with ONNX, TensorRT, etc).
Added 44 mins 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 44 mins 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 58 mins ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
AI Frameworks & Development: LangChain, LangGraph, LlamaIndex, FastAPI, REST APIs, Python, SQL
Added 58 mins ago
A
Python AI Engineer
Apptad
Toronto, ON
- Full-time
Design, develop, and maintain scalable backend applications using Python.
Added 58 mins ago
P
JAMS Platform Engineer
ProwessSoft
Toronto, ON
- Contract
Engineer and administer JAMS Scheduler| including Scheduler| Agents| Executors| queues| resources and job configuration. Improve platform reliability| performance| capacity| resilience and…
Added 58 mins 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 1 hour 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 1 hour ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 1 hour 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 2 hours ago
AI
Machine Learning Engineer- AWS SageMaker
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 2 hours ago
EI
Senior Water Resources Engineer, Land Development
Egis in Canada
Toronto, ON
- $105,000 to $130,000 CAD / year
- Full-time
The Senior Water Resources Engineer position is based in Toronto, Ontario, Canada and is responsible for the planning, analysis, and delivery of water resources engineering and hydraulic…
Added 2 hours ago
EG
Water Resources Engineer
Egis Group
Toronto, ON
- $85,000 to $115,000 CAD / year
- Full-time
Experience with automation, including but not limited to Dynamo and Python, is considered an asset.
Added 2 hours ago
EG
Senior Water Resources Engineer, Land Development
Egis Group
Toronto, ON
- $105,000 to $130,000 CAD / year
- Full-time
The Senior Water Resources Engineer position is based in Toronto, Ontario, Canada and is responsible for the planning, analysis, and delivery of water resources engineering and hydraulic…
Added 2 hours ago
MP
Lead Data Engineer - Temporary Assignment up to 18 months
Municipal Property Assessment Corporation
Pickering, ON
- Temporary
Become a Lead Data Engineer - Temporary Assignment up to 18 months with MPAC
Added 2 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 2 hours ago
M
Data Specialist
McKesson
Mississauga, ON
- Full-time
The ideal candidate combines deep technical expertise in Databricks, SQL, Python, and modern Business Intelligence platforms such as Power BI and Tableau with a strong understanding of…
Added 2 hours ago
K
Application Engineer - AMR
KUKA
Mississauga, ON
- Full-time
Application Engineer providing technical expertise and engineering support for KUKA Robotics' internal and external stakeholders in autonomous mobile robot (AMR) technology.…
Added 2 hours ago
EI
Senior Water Resources Engineer
Egis in Canada
AB · Edmonton, AB
- $105,000 to $130,000 CAD / year
- Full-time
The Senior Water Resources Engineer position is based in Edmonton, Alberta, Canada and is responsible for the planning, analysis, and delivery of water resources engineering and hydraulic…

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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