AI DevOps Engineer

BCE Inc.$90K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience.
  • 3+ years in DevOps, SRE, or Software Engineering with AI/ML workflow exposure.
  • Experience configuring and managing CI/CD pipelines.
  • Proficient with scripting languages like Python or Bash.
  • Familiarity with MLOps tools such as MLflow, Kubeflow, or SageMaker.
  • Experience in creating technical documentation.
  • Understanding of version control with Git and containerization using Docker.

Responsibilities

  • Implement AI best practices and support adoption across engineering teams.
  • Collaborate with various business units for AI integration success.
  • Set up and configure MLOps tools and CI/CD pipelines as per design.
  • Assist development teams with AI/ML enablement and troubleshooting.
  • Develop user-facing documentation and tutorials for MLOps tools.
  • Create scripts to automate routine tasks for increased efficiency.
  • Gather feedback from development teams on the usability of resources.

Benefits

  • Comprehensive medical, dental, vision, and mental health benefits.
  • Customizable benefits to suit individual and family needs.
  • 35% discount on Bell services.
  • Access to exclusive offers from partners.
Full Job Description
Req Id: 428729

Become an integral part of our Customer Experience team, where you will be at the forefront of shaping our customer journeys. You will build on Bell's Strategic Imperative to Champion Customer Experience and reinforce our commitment to put the customer first in everything we do. Design innovative, customer-centric processes, policies, products and services, while upholding our Customer-First Commitments to make it easier for customers to do business with Bell.

As part of our team, you will be at the heart of our customer experiences.

Summary

As an Intermediate AI DevOps Engineer you are a skilled practitioner responsible for making the AI enablement vision a reality. This role involves supporting and executing within established frameworks to implement AI best practices, drive adoption, and ensure seamless AI integration across various business units (BUs).

Key Responsibilities

  • AI Standardization & Adoption: Implement AI best practices and actively support their adoption across engineering teams.
  • Cross-BU Collaboration: Work closely with different BUs' teams to ensure successful integration of AI capabilities and MLOps practices.
  • MLOps Implementation & Configuration: Set up and configure MLOps tools, CI/CD pipelines, and infrastructure components according to established architectural designs.
  • Developer Support: Directly assist development teams in utilizing enablement capabilities, troubleshooting pipeline issues, and providing guidance on best practices for AI/ML development.
  • Documentation Contribution: Create and update user-facing documentation, tutorials, and examples for MLOps tools, processes, and AI enablement resources.
  • Scripting & Automation: Develop scripts to automate routine tasks for both the enablement team and development teams, enhancing efficiency.
  • Feedback Gathering: Systematically collect feedback from development teams regarding the usability and effectiveness of enablement resources and tools.


Competencies

  • MLOps Execution: Ability to implement and configure MLOps tools and CI/CD pipelines as designed.
  • Technical Support: Skill in assisting developers, troubleshooting technical issues, and guiding them on best practices.
  • Automation Development: Proficiency in scripting (e.g., Python, Bash) to automate routine tasks.
  • Documentation: Capability to create and update clear, user-friendly technical documentation.
  • Collaboration: Ability to work effectively with cross-functional teams and gather constructive feedback.
  • Problem-Solving: Aptitude for identifying and resolving technical issues within established frameworks.
  • AI/ML Workflow Understanding: Foundational knowledge of AI/ML concepts and the importance of DevOps in their lifecycle


Critical Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
  • 3+ years of experience in DevOps, SRE, or Software Engineering roles, with exposure to AI/ML development workflows.
  • Hands-on experience configuring and managing CI/CD pipelines.
  • Experience with scripting languages such as Python or Bash.
  • Exposure to MLOps tools and concepts (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).
  • Experience creating technical documentation.
  • Understanding of Git for version control.
  • Familiarity with containerization technologies like Docker.
  • Basic knowledge of AI/ML concepts and the ML development lifecycle.

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Adequate knowledge of French is required for positions in Quebec.

Additional Information:

Position Type: Management

Job Status: Regular Term - Full Time

Job Location: Canada : Ontario : Mississauga || Canada : Ontario : Toronto || Canada : Quebec : Montreal

Work Arrangement: Hybrid

Application Deadline: 07/24/2026

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.

About BCE Inc.

BCE Inc., a telecommunications and media company, provides wireless, wireline, Internet, and television (TV) services to residential, business, and wholesale customers in Canada. It operates in three segments: Bell Wireless, Bell Wireline, and Bell Media. The Bell Wireless segment offers wireless voice and data communications products and services, including 40 live and on-demand channels on smartphones and tablets; roaming services; push-to-talk, field service management, worker safety, and mobility management tools and services; and asset management, smart buildings, smart cities, fleet management, and other Internet of Things services. The Bell Wireline segment provides data, including Internet access and Internet protocol television; and local telephone, long distance, and other communications services and products, as well as satellite TV and connectivity services. This segment also offers security and automation services for homes and businesses through its Bell Smart Home security and automation offering. The Bell Media segment provides conventional TV, specialty TV, pay TV, and streaming services; and digital media, radio broadcasting, out-of-home advertising, and sports and entertainment production services. BCE Inc. was founded in 1880 and is headquartered in Verdun, Canada.
Learn more about BCE Inc.
Size
49,781 employees
Market Cap
$40 billion
Industry
5 Year Trend
+1.5%
NASDAQ

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