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. That’s why we equip our teams with cutting‑edge technology, AI tools, and a collaborative environment that supports creativity and growth. 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.

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.

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 productive and reproducible workflows. 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.

Innovation and Continuous Improvement:Customer-Centric Approach:Demonstrates a deep understanding of customer needs, anticipating and exceeding expectations to drive customer satisfaction. Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. 3+ years of experience in a machine learning engineering or related role. 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 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., Experience with specific cloud platforms (AWS, Azure, GCP)



Experience with monitoring and logging tools (e.g., Contributions to open-source projects. Adequate knowledge of French is required for positions in Quebec.

Job Status: Regular - 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. 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.

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.

For a confidential inquiry, email your recruiter or [email protected] 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.

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📌 Dev. Machine Learning Engineering II (Toronto)
🏢 Bell
📍 Toronto