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Added 1 month ago
IC
Cloud Infrastructure & DevSecOps Engineer
InfoTrack Canada
Toronto, ON
- Full-time
Re-architect and optimise our CI/CD pipelines so build and deployment times drop meaningfully - developer velocity is your scoreboard, not just uptime.
Added 1 month ago
F
Senior Software Engineer
Fleetworthy
AB · Edmonton, AB
- Full-time
Architect, write, and review reusable, testable, and efficient code following Clean Code / SOLID principles, and raise the bar on code quality, maintainability, and performance in the code…
Added 1 month ago
A
Senior Full Stack Developer/AI Builder
adidas
Woodbridge, ON
- Full-time
…and AWS. In this role, you will collaborate with a Solution Architect, Technical Lead, Product Owner, Platform and DevOps specialists, as well as quality engineering, security partners, and…
Added 1 month ago
A
Platform & Site Reliability Engineer
adidas
Woodbridge, ON
- Full-time
We are seeking a highly skilled Platform & SRE Engineer who can provide the cloud, platform, DevOps, reliability, security, deployment, observability, and operational foundation that…
Added 1 month ago
EW
Architecte WordPress / WordPress Architect
Evolving Web
Montreal, QC
- Full-time
…CSS, JavaScript, couches de cache, SQL), NPM, Webpack, Docker, DevOps, GitLab CI/CD et plateformes d'hébergement géré telles que Pantheon ou WordPress…
Added 1 month ago
AC
AWS DevOps Engineer
Adastra Corporation
Markham, ON
- Full-time
Adastra is looking for an Associate DevOps Engineer to join our AWS Practice and support cloud modernization, data platform, and migration initiatives. The role will focus on building and…
Added 1 month ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
Cloud Associate Cloud Engineer certification (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals, Google Cloud Certified Professional Cloud Architect)
Added 1 month ago
MG
Principal Engineer / Architect
Matrix Global
Toronto, ON
- Full-time
We are seeking a highly skilled and hands-on Principal Engineer / Architect to lead the architecture, design, and delivery of next-generation cloud-native data and application platforms.…
Added 1 month ago
B
Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
Cloud Associate Cloud Engineer certification (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals, Google Cloud Certified Professional Cloud Architect)
Added 1 month ago
NV
Databricks Architect (ID#5473)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
New Value Solutions, a national IT consulting company, is seeking a Databricks Architect to design, lead implementation, and operationalize a secure, scalable Databricks foundation, with a…
Added 1 month ago
Lead Network & Security Architect 1
Celestica International LP
Toronto, ON
We are seeking a highly experienced and meticulous Lead Network & Security Architect to join the IT Support team for the Hardware Platform Solutions (HPS) group. In this role, you will take…
Added 1 month ago
C
Lead Network & Security Architect 1
Celestica
Toronto, ON
- Full-time
We are seeking a highly experienced and meticulous Lead Network & Security Architect to join the IT Support team for the Hardware Platform Solutions (HPS) group. In this role, you will take…
Added 1 month ago
Solution Architect- .NET (microservices)
Charger Logistics Inc
Brampton, ON
We're looking for a hands-on .NET Solution Architect to lead the design and evolution of our distributed platform: more than 100 microservices built mainly on .NET Core and PostgreSQL.…
Added 1 month ago
T
Microsoft Fabric & Airflow Resource
TechDoQuest
Brampton, ON
- Contract
Utilize Azure DevOps and Git for version control and CI/CD of Fabric artifacts.
Added 1 month ago
CL
Solution Architect- .NET (microservices)
Charger Logistics Inc.
Brampton, ON
- Full-time
We're looking for a hands-on .NET Solution Architect to lead the design and evolution of our distributed platform: more than 100 microservices built mainly on .NET Core and PostgreSQL.…
Added 1 month ago
SG
Senior Solution Designer
SRA Group
NB · New Brunswick, Canada
- $85 to $90 CAD / hour
- Contract
Microsoft Certified: Azure Solutions Architect Expert
Added 1 month ago
C
Développeur(euse) Java sénior
CGI
Montreal, QC
- Full-time
This role is deliberately polyvalent. You own the DevOps chain of your applications CI/CD pipelines, containers and Kubernetes, observability, Infrastructure as Code and you work AI first:…
Added 1 month ago
B
Principal Cloud Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
Design, implement and optimize CI/CD pipelines (Azure DevOps, GitHub Actions)
Added 1 month ago
HB
Platform Engineer
Hunter Bond
Montreal, QC
- Full-time
Architect and evolve scalable Linux compute platforms.
Added 1 month ago
N
Senior Cloud Systems Engineer (CI/CD & Data Platform)
Numeris
Toronto, ON
- Full-time
Build and maintain enterprise CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab.
Added 1 month ago
Principal Technology Architect
Infosys
Canada
Infosys is seeking a Principal Technology Architect in Banking domain. The resource will be joining our financial services Architecture team, this is a specialized team with expertise in…
Added 1 month ago
M
Lead Salesforce Solution Architect
McKesson
Mississauga, ON
- Full-time
McKesson is seeking a highly experienced Salesforce Solution Architect to define and drive the Salesforce strategy, architecture, and roadmap supporting our Specialty Health business. This…
Added 1 month ago
CI
Java Developer with Heavy AWS Cloud expertise-- SINDC5957260
Compunnel Inc.
Calgary, AB
- Contract
Intermediate, hands-on developer - actively coding, not an Architect/DevOps/Manager.
Added 1 month ago
Senior Software Engineer, Full-Stack Applications - Python
Fitch Group
Toronto, ON
Continuous learning – Training, certifications, conferences, and clear paths to senior/principal/architect tracks
Added 1 month ago
M
Senior Software Engineer - Card Network Integration
Marqeta
Remote, Canada
- Full-time
- Remote
May focus on DevOps and Infrastructure Engineering and provide expert guidance on operationalizing services and implementations of the cloud infrastructure necessary to meet goals,…

Bell

Dev. Machine Learning Engineering II

Toronto, ON, Canada

Hybrid

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Job details

Workplace: Hybrid
Experience: 3+ years of experience in a machine learning engineering or related role.
Posting language: English
Posted: Oct 6, 2026

Original job description

Req Id: 433020

Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we’re building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day.

We believe in empowering people. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you’re inspired by innovation that advances how people connect and transforms what’s possible, you belong on #TeamBell.

At Bell, data science experts like you are shaping the future. You'll create, apply and work with algorithms that learn and analyze data, just like the human brain. By leveraging AI and machine learning technologies, you'll help us deliver better experiences and service innovations to Canadians.

Plus, through our partnerships, you'll have the opportunity to learn and grow alongside other AI professionals to advance your career and make a lasting impact.

Summary

We are seeking a highly skilled and experienced Machine Learning Engineering Developer II to join our team. This role requires a strong understanding of machine learning principles, software engineering best practices, and cloud infrastructure. The ideal candidate will be responsible for the development, deployment, and maintenance of ML models and pipelines in a production environment.

Key Responsibilities

Develop, deploy, and maintain machine learning models in production on cloud platforms (specify preferred platforms, e.g., AWS, Azure, GCP).
Design, implement, and maintain infrastructure-as-code (IaC) for ML applications, ensuring scalability, reliability, and maintainability.
Develop, enhance, and maintain CI/CD pipelines for ML model development and deployment.
Build, automate, and maintain machine learning dependencies and artifact pipelines, ensuring efficient and reproducible workflows.
Collaborate closely with product teams to accelerate development cycles, improve product robustness, and address production issues.
Proactively identify and resolve performance bottlenecks and other issues in ML pipelines and applications.
Contribute to the development and improvement of ML engineering best practices and standards.
Mentor and guide junior engineers.
Proactive Problem-Solving: Identifies critical needs and takes decisive action to address them effectively and efficiently.
Innovation and Continuous Improvement: Actively seeks and implements new ideas and innovative solutions, proactively exploring new areas and opportunities for growth.
Customer-Centric Approach: Demonstrates a deep understanding of customer needs, anticipating and exceeding expectations to drive customer satisfaction.
Analytical and Solution-Oriented: Masterfully applies systematic problem-solving methodologies to complex challenges, consistently delivering effective solutions.
Learning Agility and Continuous Development: Proactively investigates mistakes, fosters a culture of learning from experience, and actively seeks opportunities to expand skills and responsibilities.
Mentorship and Collaboration: Mentors and guides junior team members, fostering a collaborative environment of knowledge sharing and mutual support.

Critical Qualifications

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. Relevant experience may be considered in lieu of a degree.
3+ years of experience in a machine learning engineering or related role.
Cloud Associate Cloud Engineer certification (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals, Google Cloud Certified Professional Cloud Architect)
Proficiency in SQL.
Understanding of big data processing and parallel processing techniques like Hadoop, Kafka, Apache etc.
Experience with containerization technologies (e.g., Docker, Kubernetes).
Strong knowledge of cloud computing concepts and services.
Experience with CI/CD and DevOps practices.
Proficiency in software development lifecycle (SDLC) and machine learning lifecycle (MLLC) methodologies.
Strong programming skills in Python or a similar language.
Experience with version control systems (e.g., Git).
Excellent problem-solving, analytical, and communication skills.
Ability to work independently and as part of a team.

Preferred Qualifications

Experience with specific cloud platforms (AWS, Azure, GCP)
Experience with specific orchestration tools (e.g., Airflow, Argo).
Experience with monitoring and logging tools (e.g., Prometheus, Grafana).
Contributions to open-source projects.

Adequate knowledge of French is required for positions in Quebec.

Additional Information:

Position Type: Management Job Status: Regular - Full Time Job Location: Canada : Ontario : Toronto Work Arrangement: Hybrid Application Deadline: 10/21/2026

For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

Please apply directly online to be considered for this role. Applications through email will not be accepted.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong.

Bell is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

Created: Canada, ON, Toronto

Bell, one of Canada's Top 100 Employers.

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More about this job

Responsibilities

The role involves developing, deploying, and maintaining machine learning models and pipelines within a production cloud environment. You will also design infrastructure-as-code and collaborate with product teams to improve model performance and reliability.

Requirements

Candidates must have a bachelor's degree in a relevant field and at least 3 years of experience in machine learning engineering. Proficiency in Python, SQL, cloud platforms, and containerization technologies is required, along with a relevant cloud certification.

Skills

Machine learning
Python
SQL
Cloud computing
CI/CD
DevOps
Docker
Kubernetes
Big data processing
Infrastructure-as-code
Kafka
Apache
Hadoop
Software engineering
Data science
Problem-solving

Benefits

Medical benefits
Dental benefits
Vision benefits
Mental health benefits
35% discount on services
Exclusive partner offers

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Cloud Infrastructure
AWS
Azure
GCP
Python
SQL
Docker
Kubernetes
CI/CD
DevOps
Infrastructure-as-code
Big Data
Hadoop
Kafka
Apache
Airflow
Argo
Prometheus
Grafana
SDLC
MLLC
Git
Data Science
Software Engineering
Algorithms
Production Environment
Scalability
Reliability

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