Dev. Machine Learning Engineering II
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Job Summary
Req Id:431341
Connection is everything. It drives us to innovate explore and stay close to what matters to us most. At Bell were 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. Thats why we equip our teams with cutting-edge technology AI tools and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact If youre inspired by innovation that advances how people connect and transforms whats possible you belong on #TeamBell.
At Bell data science experts like you are shaping the future. Youll create apply and work with algorithms that learn and analyze data just like the human brain. By leveraging AI and machine learning technologies youll help us deliver better experiences and service innovations to Canadians.
Plus through our partnerships youll have the opportunity to learn and grow alongside other AI professionals to advance your career and make a lasting impact.
Summary
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.
Key Responsibilities
- 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 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.
- Proactive Problem-Solving:Identifies critical needs and takes decisive action to address them effectively and efficiently.
- Innovation and Continuous Improvement:Actively seeks and implements new ideas and innovative solutions proactively exploring new areas and opportunities for growth.
- Customer-Centric Approach:Demonstrates a deep understanding of customer needs anticipating and exceeding expectations to drive customer satisfaction.
- Analytical and Solution-Oriented:Masterfully applies systematic problem-solving methodologies to complex challenges consistently delivering effective solutions.
- Learning Agility and Continuous Development:Proactively investigates mistakes fosters a culture of learning from experience and actively seeks opportunities to expand skills and responsibilities.
- Mentorship and Collaboration:Mentors and guides junior team members fostering a collaborative environment of knowledge sharing and mutual support.
Critical Qualifications
- Bachelors 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 specify preferred certification).
- 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.
Preferred Qualifications
- Experience with specific cloud platforms (AWS Azure GCP specify preferred platforms).
- 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.
Additional Information:
Position Type: Management
Job Status:Regular - Full Time
Job Location: Canada : Ontario : Toronto
Work Arrangement: Hybrid
Application Deadline: 07/23/2026
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 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 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 youll 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 youll be eligible for medical dental vision and mental health benefits that you can tailor to your specific needs. Plus as a Bell team member youll enjoy a 35% discount on our services and access exclusive offers from our partners.
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 were 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 to make arrangements. If you have questions or feedback regarding accessibility at Bell we invite you to complete the Accessibility feedback formor visit our Accessibility pagefor 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: CanadaON Toronto
Bellone of Canadas Top 100 Employers.
Required Experience:
IC
About Company
Canada’s largest communications company, BCE leads the industry in providing advanced broadband communications networks and services to consumers and business customers across the country.
