Jobs in Canada

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Added 1 month ago
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Member of Technical Staff 2 - AI
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
When people talk about generative AI and other ML-powered solutions in today's conversation, they often refer to generative pre-trained transformers like ChatGPT that can respond to queries…
Added 1 month ago
CT
Solutions Architect
Canadian Tire Corporation
Oakville, ON · Toronto, ON
- Full-time
We’re looking for multiple Solution Architects to design and govern end-to-end solutions across the retail value chain - Supply Chain & Logistics, Store Technology, Merchandising,…
Added 1 month ago
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Principal Engineer, Digital Manufacturing
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Toronto, ON
- Full-time
…leads the strategy, architecture, and execution of advanced analytics and AI-driven solutions to enable intelligent, connected manufacturing across a global network of production…
Added 1 month ago
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Analyste d'affaires intermédiaire, volet IA
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 1 month ago
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Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
Work Mode: Hybrid, 3-4 days per week
Added 1 month ago
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ML Architect
Quantiphi
Canada
- Full-time
Must have experience using GenAI frameworks such as vertexAI, OpenAI, AWS Bedrock · Must have Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2
Added 1 month ago
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Sr. Practice Consultant-Public Cloud
OnX
Toronto, ON
- Full-time
The Senior Practice Consultant – Data & AI serves as a trusted multicloud architect and solution lead within OnX's Data & AI practice, guiding clients through the design and delivery of…
Added 1 month ago
Manager, Media Innovation & AI Strategy
WPP Media
Toronto, ON
In this visible and client facing role, you will be the strategic architect of Mazda team success within the WPP Open ecosystem. You will be the resident data, technology, and AI expert…
Added 1 month ago
BC
Senior Product Manager, Strategic Pricing
Bell Canada
Bedford, NS
- $20.5 to $57.44 CAD / hour
- Full-time
- On-site
…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.…
Added 1 month ago
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AI Solutions Architect
S&P Global Mobility
London, ON
- Full-time
Establish technology standards: approved frameworks, model providers, data platforms, integration patterns
Added 1 month ago
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Enterprise Architect
Westland Insurance Group Ltd.
Surrey, BC
- Full-time
As our Enterprise Architect, you’ll turn Westland’s vision into clear, actionable technology plans. You’ll connect business and technology across people, data, and platforms to build a…
Added 1 month ago
Enterprise Architect
Talent Acquisition Team at Westland Insurance. Text reply only.
Surrey, BC
As our Enterprise Architect, you’ll turn Westland’s vision into clear, actionable technology plans. You’ll connect business and technology across people, data, and platforms to build a…
Added 1 month ago
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Senior Applied AI Developer
Plusgrade
Montreal, QC
- Full-time
You will design, deploy, and scale low-latency ML and LLM recommendation pipelines that feed real-time predictive data into core travel applications. You will own the entire lifecycle of…
Added 1 month ago
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Senior Forward Deployed Engineer (FDE)
Open Systems Technologies
Toronto, ON
- Contract
…hybrid engineering/customer-facing role for someone who can architect, build, and deploy production-grade solutions on-site or in close collaboration with client trading, risk, and…
Added 1 month ago
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AI Opportunities | Opportunités en IA
McKesson
Montreal, QC
- Full-time
…value, then size it before it moves. Open roles: Lead Solution Architect, Senior Business Analyst, Data Scientist, Data…
Added 1 month ago
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AI Training Consultant
Innovecture
Toronto, ON
- Contract
Technical problem-solving: Ability to decompose business problems, identify where AI adds value, and architect solutions that integrate with existing workflows.
Added 1 month ago
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Senior Data Architect
Encore Technical Solutions Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
…systems onto modern, cloud-based platforms. They need a hands-on Data Architect to design a data architecture on Azure that's scalable, secure and well governed, and that supports…
Added 1 month ago
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Product Manager - SAP Functional Solution Lead
Air Canada
Toronto, ON · Dorval, QC
- Full-time
This individual must have experience creating innovative, high-performance ERP solutions, and be customer-centric, data driven, and passionate about the travel industry. The ideal candidate…
Added 1 month ago
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Architect, Machine Learning (Principal Scientist)
Kinaxis Inc.
Canada
- Full-time
The AI team is responsible for advancing machine learning solutions in the supply and demand space across industries such as Retail, Consumer Packaged Goods, and Life Sciences. Our work…
Added 1 month ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
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
Added 1 month ago
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Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
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
Added 1 month ago
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Architecte de données / Data Architect
Pratt & Whitney
Longueuil, QC
- Full-time
…ingénierie afin de concevoir des architectures évolutives et des solutions innovantes répondant à des défis d’affaires complexes. Votre expertise aura un impact concret sur des projets…
Added 1 month ago
Product Manager, Strategic Pricing
Bell
Montreal, QC
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
Added 1 month ago
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Sr. Practice Consultant-Public Cloud
CBTS
Toronto, ON
- Full-time
The Senior Practice Consultant – Data & AI serves as a trusted multicloud architect and solution lead within OnX's Data & AI practice, guiding clients through the design and delivery of…
Added 1 month ago
BC
Senior Manager, Data & AI
BDO Canada
Vancouver, BC
- Full-time
Architect and oversee the delivery of modern data platforms that bring data together from source systems, create trusted data models, enable reporting and analytics, and support AI…

Bell

Dev. Machine Learning Engineering II

Toronto, ON, Canada

Hybrid

Apply on jobs.bce.ca About employer

Applications open in a new tab.

Job details

Workplace: Hybrid
Work location: 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
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.

Apply on jobs.bce.ca About employer

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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Work requirements

Jobs in Canada