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2027 Graduate Program, Technology Services - Emerging AI and Data Solutions

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Before you apply

New graduates
Open to new graduatesJob title: 2027 Graduate Program, Technology Services - Emerging AI and Data Solutions (Verdun, QC, CA)
Eligibility
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. — eligibility source
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.
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What you’ll work on

Full posting
  • Explore enterprise datasets and build predictive machine learning models and AI agents

  • Build, test and scale production-grade ML and generative AI applications with MLOps

  • Design and maintain scalable ETL pipelines and data models

  • Support project delivery and technology modernization with cross-functional teams

From the employer’s posting
Explore complex enterprise datasets, perform advanced exploratory data analysis, build predictive machine learning models and AI agents
Build, test, and scale production-grade ML and Generative AI applications using MLOps best practices (CI/CD, monitoring, and automation).
Design and maintain scalable ETL pipelines and data models across structured and unstructured repositories.
Collaborate with cross-functional teams to support project delivery, technology modernization, and strategic initiatives.
Education & alternatives
Education & Eligibility - Bachelor's degree, master's degree, college diploma, or CEGEP diploma in Computer Science, Mathematics, Engineering, Statistics, Business Analytics, Information Systems, or a related field. - Less than three years of combined professional work experience, excluding internships.
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Posting record

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Status in our records
Live
First seen by us
Sep 19, 202647 days ago
Recorded sightings
540
Last seen by us
Nov 6, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 47

Similar jobs usually come down between day 6 and day 70.

Well past Bell’s usual: its jobs come down by about day 15.

From 4,515 similar postings that came down, and 8 of Bell’s. Coming down is not always a hire.

Bell is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • AWS
  • Docker
  • Kubernetes
  • GCP
Where the posting names them
Core Capabilities & Technical Skills - Familiarity with programming, scripting, or analytical languages (e.g., Python, SQL, R) to analyze datasets and build models, alongside a basic understanding of core programming principles, object-oriented concepts, or version control (e.g., Git). - Foundational knowledge of databases, data modeling standards, data pipelines/ETL concepts, and cloud-native environments (e.g., Docker, Kubernetes, Google Cloud/AWS).
- Familiarity with programming, scripting, or analytical languages (e.g., Python, SQL, R) to analyze datasets and build models, alongside a basic understanding of core programming principles, object-oriented concepts, or version control (e.g., Git). - Foundational knowledge of databases, data modeling standards, data pipelines/ETL concepts, and cloud-native environments (e.g., Docker, Kubernetes, Google Cloud/AWS). - Familiarity with basic object-oriented programming or scripting languages enabling you to build, automate, understand and analyze the underlying logic of complex software systems, AI models and/or datasets.

Your next step

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 625, the most 1,094, and the latest week had 876.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

 ​Req Id: 432894

 

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. 

 

Launch your career at Bell and join the best-in-class Internship/Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills and join other interns and grads attending exclusive events and networking opportunities. 
 
At Bell, innovation drives us. With advanced tech, AI tools, and a collaborative culture, you’ll shape the future and grow your career. Join us!

 

 

Why Join Us

Join Bell's Technology Services Graduate Program and  shape the future of cloud, data, and AI-enabled solutions. Through our 24-month rotational program, you'll work alongside industry experts to contribute to high-impact projects, build in-demand technical skills, and receive leadership development designed to accelerate your career. 

What You'll Do

As a Technology Services Emerging AI and Data Solutions Graduate, you’ll help build, deploy, and scale end-to-end data and AI solutions that enable data-driven business decisions. This program prepares you for specialized roles across three core disciplines: Data Science, Machine Learning Engineering (MLE), and Data Engineering (DE). 

  • Accelerate your growth in a 24-month rotational program, shifting from a foundational role to a second placement to broaden your technical and leadership experience.
  • Explore complex enterprise datasets, perform advanced exploratory data analysis, build predictive machine learning models and AI agents that optimize business operations
  • Build, test, and scale production-grade ML and Generative AI applications using MLOps best practices (CI/CD, monitoring, and automation).
  • Design and maintain scalable ETL pipelines and data models across structured and unstructured repositories. Collaborate with cross-functional teams to support project delivery, technology modernization, and strategic initiatives.
  • Apply data-driven analysis and systems thinking to address complex challenges, continuously evaluating and leveraging cutting-edge AI tools, emerging deep learning frameworks, and modern cloud data platforms to drive solution quality. 

Education & Eligibility

  • Bachelor's degree, master's degree, college diploma, or CEGEP diploma in Computer Science, Mathematics, Engineering, Statistics, Business Analytics, Information Systems, or a related field.
  • Less than three years of combined professional work experience, excluding internships.
  • Eligible for Bell's Graduate Program as outlined on the Students & Graduates website.
  • Located in, or willing to relocate to, the Greater Toronto Area, Montreal, Ottawa, or Quebec City. 

Core Capabilities & Technical Skills

  • Familiarity with programming, scripting, or analytical languages (e.g., Python, SQL, R) to analyze datasets and build models, alongside a basic understanding of core programming principles, object-oriented concepts, or version control (e.g., Git). 
  • Foundational knowledge of databases, data modeling standards, data pipelines/ETL concepts, and cloud-native environments (e.g., Docker, Kubernetes, Google Cloud/AWS).
  • Familiarity with basic object-oriented programming or scripting languages enabling you to build, automate, understand and analyze the underlying logic of complex software systems, AI models and/or datasets. 
  • A proven ability to bridge the gap between business and technical by translating complex business needs into clear technical requirements, user stories, process flows, and conceptual architecture plans.
  • Foundational understanding of AI/ML lifecycle principles, Generative AI concepts, and LLMs, with exposure to modern frameworks and prompt engineering. Comfortable preparing and presenting data insights using visualization tools or libraries to communicate findings and tell a clear story. 
  • Exposure to collaborative project tools (e.g., Jira, Confluence, Miro) or Agile concepts. 
  • Strong aptitude for systems thinking, breaking down complex engineering challenges, and evaluating technical trade-offs while navigating ambiguity in dynamic environments.
  • Demonstrated leadership, accountability, and initiative through academic projects, student organizations, competitions, volunteer activities, or other extracurricular experiences. 

Applying Is Simple

Our application process is designed to help you showcase your potential and learn more about opportunities at Bell. 

  1. Review our programs and indicate your preferred program stream in your application.
  2. Complete your video interview within 48 hours of receiving the invitation.
  3. If selected, participate in a phone interview and/or assessment.
  4. If successful, attend a final interview. 

 

To be considered, submit your resume and most recent transcripts (unofficial transcripts accepted) by clicking Apply on this page. 

Please apply online directly. Applications submitted by email will not be accepted. 

Offers will be extended on an ongoing basis from September 2026 through February 2027, or until all positions have been filled.

#TechInnovation #LI-hybrid  

Adequate knowledge of French is required for positions in Quebec.

 

Additional Information:
Position Type: Management 
Job Status: Grad Hire 
Job Location: Canada : Quebec : Verdun || Canada : Ontario : Toronto 
Work Arrangement: Hybrid
Application Deadline: 11/16/2026

 

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, QC, Verdun

 

​Bell, one of Canada's Top 100 Employers.

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Location & working pattern

Verdun, QC, CA

Offers will be extended on an ongoing basis from September 2026 through February 2027, or until all positions have been filled. #TechInnovation #LI-hybrid Adequate knowledge of French is required for positions in Quebec. Additional Information: Position Type: Management Job Status: Grad Hire Job Location: Canada : Quebec : Verdun || Canada : Ontario : Toronto Work Arrangement: Hybrid Application Deadline: 11/16/2026 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.
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