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Added 36 mins ago
KI
Architect, Machine Learning (Principal Scientist)
Kinaxis Inc.
Canada
- Full-time
Kinaxis is seeking a Machine Learning Architect to help define and advance our next generation of AI-driven capabilities. As part of the Product R&D organization, you will play a senior…
Added 51 mins ago
K
Senior Consultant, Finance Transformation-Insurance
KPMG
ON · Toronto, Ontario
- Full-time
…improvement opportunities. In addition, KPMG FT will be the business architect that helps CFOs shape the next generation of Finance and jumpstarts their journey as they move forward with AI…
Added 2 hours ago
V
Senior Firmware & FPGA Engineer, SST Control
Verdyn
Oakville, ON
- $110,000 to $160,000 CAD / year
- Full-time
- Architect and develop embedded firmware and FPGA gateware for real-time control, protection and modulation of the SST power stages.
Added 2 hours ago
SM
Senior Manager, Business Insights
Spin Master
Toronto, ON
- Full-time
…global Toy business. In this role, you will act as the principal architect and owner of our single source of business truth. You will lead a talented team of analysts to transform complex,…
Added 3 hours ago
A
SDx / Octave Solution Architect
Accenture
Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC · Calgary, AB
- Full-time
Looking to be part of a transformational digital engineering and manufacturing practice? How about an opportunity to help world-class clients solve their biggest challenges and create…
Added 3 hours ago
R
PT Learning OCM Partner
Roche
Mississauga, ON · Canada Pharma Campus
- Full-time
As the PT Learning OCM Partner, you will architect and drive the transformation of our Global Learning Organisation across our manufacturing network and global functions. In this role, you…
Added 5 hours ago
K
Associate Director - Cloud Technology Advisor
Kyndryl
Calgary, AB · BC
- Full-time
Professional-level certification in at least one hyperscaler platform: AWS Certified Solutions Architect Professional, or Microsoft Azure Solutions Architect Expert, or Google Professional…
Added 7 hours ago
R
PT Learning OCM Partner
Roche
Mississauga, ON
- Full-time
As the PT Learning OCM Partner, you will architect and drive the transformation of our Global Learning Organisation across our manufacturing network and global functions. In this role, you…
Added 8 hours ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
…pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities…
Added 8 hours ago
X
Staff Control Systems Architect - Photonic Quantum Computing
Xanadu
Toronto, ON
- Full-time
hundreds of optical, electronic and digital subsystems behave as one coherent, controllable
Added 8 hours ago
EW
Architecte WordPress / WordPress Architect
Evolving Web
Montreal, QC
- Full-time
Added 9 hours ago
C
Architecte en intelligence artifielle/Expert-conseil en IA
CGI
Montreal, QC
- Full-time
We are seeking an Artificial Intelligence Architect to serve as a strategic AI leader, supporting our clients in their digital transformation initiatives and contributing to the growth and…
Added 11 hours ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
…future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every…
Added 11 hours 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 11 hours ago
B
Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
…future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every…
Added 12 hours ago
E
Azure Solution Architect
ELITS
Remote, Canada
- Full-time
- Remote
…projects for market leading customers. We help customers turn digital ambition into successful implementation through close collaboration, humility, and pride in what we…
Added 12 hours ago
A
SDx / Octave Solution Architect
Accenture
Toronto, ON
- Full-time
Looking to be part of a transformational digital engineering and manufacturing practice? How about an opportunity to help world-class clients solve their biggest challenges and create…
Added 12 hours ago
AC
Conseiller principal en architecture de solutions, intelligence artificielle.
Amaris Consulting | Part of Mantu
Montreal, QC
- Full-time
Nous recherchons des consultants dynamiques pour renforcer notre équipe en Systèmes d'Information & Digital à Montréal. Votre expérience, vos connaissances et votre engagement nous aideront…
Added 12 hours ago
A
SDx / Octave Solution Architect
Accenture
Vancouver, BC
- Full-time
Looking to be part of a transformational digital engineering and manufacturing practice? How about an opportunity to help world-class clients solve their biggest challenges and create…
Added 12 hours ago
A
SDx / Octave Solution Architect
Accenture
Calgary, AB
- Full-time
Looking to be part of a transformational digital engineering and manufacturing practice? How about an opportunity to help world-class clients solve their biggest challenges and create…
Added 12 hours ago
A
SDx / Octave Solution Architect
Accenture
Montreal, QC
- Full-time
Looking to be part of a transformational digital engineering and manufacturing practice? How about an opportunity to help world-class clients solve their biggest challenges and create…
Added 12 hours ago
A
SDx / Octave Solution Architect
Accenture
Ottawa, ON
- Full-time
Looking to be part of a transformational digital engineering and manufacturing practice? How about an opportunity to help world-class clients solve their biggest challenges and create…
Added 13 hours 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 13 hours ago
TN
E-Commerce Manager
TallGrass Natural Health
Vancouver, BC
- Full-time
…leading execution through a dedicated team. You will be the architect of our digital growth, leveraging tools like Amazon Vendor Central, Seller Central, Helium10 and Shopify Plus to scale…
Added 13 hours ago
C
Azure Databricks Architect
Capgemini
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The Databricks Architect is responsible for designing, implementing, and governing enterprise data platforms on Azure Databricks. The role leads platform architecture, workspace…

Bell

Dev. Machine Learning Engineering II

Toronto, ON, Canada

Hybrid

Apply About employer

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Job details

Workplace: Hybrid
Apply by: Oct 22, 2026
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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