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About the Role

At Bell, data science experts are shaping the future by creating, applying, and working with algorithms that learn and analyze data. Leveraging AI and machine learning technologies, you will help deliver better experiences and service innovations to Canadians. Through partnerships, you will have the opportunity to learn and grow alongside other AI professionals to advance your career and make a lasting impact.

Responsibilities

Develop, deploy, and maintain machine learning models in production on cloud platforms.
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.
Identifies critical needs and takes decisive action to address them effectively and efficiently.
Actively seeks and implements new ideas and innovative solutions, proactively exploring new areas and opportunities for growth.
Demonstrates a deep understanding of customer needs, anticipating and exceeding expectations to drive customer satisfaction.
Masterfully applies systematic problem-solving methodologies to complex challenges, consistently delivering effective solutions.
Proactively investigates mistakes, fosters a culture of learning from experience, and actively seeks opportunities to expand skills and responsibilities.
Mentors and guides junior team members, fostering a collaborative environment of knowledge sharing and mutual support.

Requirements

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.
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.

Skills

Machine Learning
Software Engineering
Cloud Infrastructure
AI
Machine Learning Models
ML Pipelines
Production Environment
Cloud Platforms (AWS, Azure, GCP)
Infrastructure-as-Code (IaC)
Scalability
Reliability
Maintainability
CI/CD
DevOps
Artifact Pipelines
Reproducible Workflows
Performance Bottlenecks
Problem-Solving
Analytical Skills
Communication Skills
SQL
Big Data Processing
Parallel Processing
Hadoop
Kafka
Apache
Docker
Kubernetes
Cloud Computing
SDLC
MLLC
Python
Git
Orchestration Tools (Airflow, Argo)
Monitoring Tools
Logging Tools (Prometheus, Grafana)

Location

Canada : Ontario : Toronto

Work Type

Hybrid
Regular - Full Time

Experience Level

3+ years of experience in a machine learning engineering or related role.
Management

Education Level

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.

Benefits

Competitive salary
Medical benefits
Dental benefits
Vision benefits
Mental health benefits
35% discount on Bell services
Exclusive offers from partners

About the Company

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

Equal Opportunity

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.