Req Id: 423270

At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It's all developed and delivered by the members of #TeamBell and we're always on the lookout for people with great skills and experiences.

We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play.

Join us. You belong at Bell.

We are seeking a highly motivated and skilled Machine Learning Engineering Developer I to join our growing team. This role will focus on the development and deployment of machine learning (ML) pipelines and applications on cloud platforms. The ideal candidate will have a strong foundation in software engineering principles and a passion for applying ML models to real-world problems.

• Develop and maintain robust and scalable ML pipelines for generating predictions from ML models deployed on cloud platforms (specify preferred platforms, e.g., AWS, Azure, GCP).
• Deploy and manage ML models in production environments, ensuring high availability, performance, and reliability.
• Adhere to established standards and best practices for developing and deploying ML pipelines, ensuring code quality, maintainability, and security.
• Participate in the development of ML applications on cloud platforms, collaborating with data scientists and product teams.
• Collaborate effectively with data scientists and product teams throughout the ML model lifecycle, from development and testing to deployment and monitoring.
• Contribute to the continuous improvement of ML infrastructure and processes.
• Troubleshoot and resolve issues related to ML pipeline performance and deployment.
• Document code, processes, and best practices.
• Proactive and results-oriented: Embraces challenges with enthusiasm and a positive "can-do" attitude, consistently exceeding expectations.
• Innovative and solution-focused: Proactively identifies opportunities for improvement and contributes creative solutions to enhance efficiency and effectiveness.
• Customer-centric: Demonstrates a strong understanding of customer needs and leverages this knowledge to deliver exceptional service and build strong relationships.
• Analytical and detail-oriented: Meticulously gathers and analyzes information to effectively identify and resolve complex problems.
• Collaborative team player: Actively contributes to a positive team environment, fostering collaboration and contributing to shared success.
• Growth-minded: Actively seeks opportunities to develop new skills and apply them to enhance job performance and contribute to organizational goals.

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. Relevant experience may be considered in lieu of a degree.
• Less than 3 years of relevant work experience in a machine learning engineering or software development role.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras – specify preferred frameworks).
• Proficiency in commonly used machine learning libraries (e.g., scikit-learn, pandas, NumPy – specify preferred libraries).
• Understanding of computer architecture and hardware, including considerations for optimizing ML model performance.
• Proficiency in Python or Java (specify preferred language).
• Experience building and deploying pipelines or applications using tools such as [mention specific tools if applicable, e.g., Docker, Kubernetes, Airflow].
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

• Experience with cloud platforms (AWS, Azure, GCP – specify preferred platforms).
• Experience with version control systems (e.g., Git).
• Experience with CI/CD pipelines.
• Contributions to open-source projects

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Adequate knowledge of French is required for positions in Quebec.

Additional Information:

Position Type: Management Job Status: Regular - Full Time Job Location: Canada : Ontario : Toronto || Canada : Quebec : Montreal
Work Arrangement: Hybrid
Application Deadline: 05/16/2025

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.

We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you'll feel valued, respected and supported as you grow and reach your full potential.

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 [email protected] 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, ON, Toronto

Bell, one of Canada's Top 100 Employers.