Bell Canada Enterprises is looking for an Intermediate AI DevOps Engineer to make our AI enablement vision a reality. In this role, you will work within established frameworks to implement best practices, drive adoption, and ensure seamless AI integration across various business units.
What You'll Do
- Implement AI best practices and actively support their adoption across engineering teams.
- Work closely with different business units' teams to ensure successful integration of AI capabilities and MLOps practices.
- Set up and configure MLOps tools, CI/CD pipelines, and infrastructure components according to established architectural designs.
- Directly assist development teams in utilizing enablement capabilities, troubleshooting pipeline issues, and providing guidance on best practices for AI/ML development.
- Create and update user-facing documentation, tutorials, and examples for MLOps tools, processes, and AI enablement resources.
- Develop scripts to automate routine tasks for both the enablement team and development teams, enhancing efficiency.
- Systematically collect feedback from development teams regarding the usability and effectiveness of enablement resources and tools.
What We're Looking For
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
- 2-4 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.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their relevant services.
- 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.
Technical Stack
- Languages: Python, Bash
- Cloud Platforms: AWS, Azure, GCP
- MLOps Tools: MLflow, Kubeflow, SageMaker, Vertex AI
- Infrastructure: Git, Docker, CI/CD
Benefits & Compensation
- Comprehensive compensation package including competitive salary.
- Medical, dental, vision and mental health benefits.
- 35% discount on Bell services.
- Access to exclusive offers from partners.
Work Mode
This is a hybrid position based in Mississauga, Toronto, or Montreal.
Bell is committed to clarity in our hiring process and encourages individuals who may require accommodations during the hiring process to let us know.
