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Added 16 mins ago
Senior Data Engineer
Quandri
Vancouver, BC
Develop and maintain cloud databases with the Infrastructure team, improve data retrieval and optimize analytics dashboards.
Added 29 mins ago
Manager, Ad Partnership Management (IC)
Walmart Canada
Mississauga, ON
Full-time
…sales, including pipeline management, sales forecasting, and data analysis. This role involves defining and implementing processes for marketing initiatives, ensuring compliance with…
Added 29 mins ago
Director, Finance Operations (Job Costing & Revenue)
Robert Half
Whitchurch-Stouffville, ON
Contract
Support ongoing revenue growth initiatives through analytics and decision support.
Added 29 mins ago
Director, AI Operations
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$100,000 to $120,000 CAD / year
Full-time
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Added 29 mins ago
Postdoctoral Research Fellow
The University of British Columbia
Vancouver, BC
Full-time
…independent research questions aligned with the program and lead high-impact publications and grant applications. The Fellow may contribute to projects…
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Senior Data Engineer
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Full-time
Develop and maintain cloud databases with the Infrastructure team, improve data retrieval and optimize analytics dashboards.
Added 30 mins ago
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dunnhumby is the global leader in Customer Data Science, helping the world's most ambitious retailers and brands put the customer at the heart of every decision. With nearly 3,000 experts…
Added 46 mins ago
Retail Senior Client Lead
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dunnhumby est le leader mondial de la Data Science appliquée aux clients, aidant les enseignes et les marques les plus ambitieuses au monde à placer le client au cœur de chaque décision.…
Added 46 mins ago
Retail Client Lead
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dunnhumby est le leader mondial de la Data Science appliquée aux clients, aidant les enseignes et les marques les plus ambitieuses au monde à placer le client au cœur de chaque décision.…
Added 46 mins ago
Retail Client Lead
dunnhumby
Toronto, ON
dunnhumby is the global leader in Customer Data Science, helping the world's most ambitious retailers and brands put the customer at the heart of every decision. With nearly 3,000 experts…
Added 59 mins ago
Data Scientist
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Added 59 mins ago
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Added 59 mins ago
Senior Research Analyst, Institutional Research & Integrated Planning
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Human Resources Information System Analyst
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Added 1 hour ago
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Added 1 hour ago
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ESG-Intern
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Bell

Senior Machine Learning Developer I

Mississauga, ON, Canada

Workplace: Hybrid
Apply by: Oct 17, 2026
Experience: 5+ years of professional software engineering experience, specifically focused on production-grade AI/ML systems.
Posting language: English
Posted: Oct 1, 2026

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Original job description

Req Id: 433050

At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

The Bell Mobility team offers the best and latest mobile devices, wireless services and Internet of Things solutions to consumer and business customers, with the top speeds, coverage and reliability on Canada’s Best National Network. We love to innovate, embrace big challenges, and live for the newest technology

Summary

We’re looking for a Senior ML Developer to join our AIOps Platform team. In this role, you will work closely with Data Scientists to take AI/ML solutions to production. You will accelerate the delivery of our core AI services from proof-of-concept to highly available, production-grade. You will bridge the gap between data science and platform operations, applying robust software engineering practices, intent-driven development, and MLOps best practices to ensure our systems are scalable, reliable, and performant.

Key Responsibilities

Production ML Engineering: Collaborate with data science, platform developers and architects, and other teams to operationalize ML models, LLM / Agentic workflows, and advanced analytics.
MLOps & Lifecycle Management: Own the end-to-end ML lifecycle (feature engineering, training, evaluation, deployment). Enforce MLOps best practices including CI/CD, model versioning, reproducibility, and rollout controls.
Pipeline & Architecture Design: Build real-time streaming pipelines using Apache Beam/Dataflow and design robust event-driven architectures (Kafka/PubSub patterns).
Design and build high-throughput, low-latency system architectures with strict idempotency and deduplication.
API & Service Delivery: Lead API and schema design for complex ML-enabled services.
Quality & Reliability: Instill a strong testing and quality mindset across the team (test-driven development, unit/integration tests, code reviews, security checks). Debug and optimize distributed systems for maximum performance.
Infrastructure Management: Implement Infrastructure as Code (Terraform/CDKTF) to manage scalable, cloud-native deployments.

Critical Qualifications

Bachelor's degree or higher in Computer Science or Computer Engineering or a related field. Relevant experience may be considered in lieu of a degree.
5+ years of professional software engineering experience, specifically focused on production-grade AI/ML systems.
Expert-level proficiency in Python software engineering.
Strong experience with the GCP stack (Vertex AI, BigQuery, Spanner, GKE, GCS, Pub/Sub).
Deep practical knowledge of MLOps best practices and taking models from proof-of-concept to highly available production services.
Hands-on experience with real-time data processing (Apache Beam, Dataflow) and event-driven architecture (Kafka, PubSub).
Proven ability in Infrastructure as Code (Terraform/CDKTF) and cloud-native orchestration (Kubernetes).
Strong software-testing and quality discipline (unit/integration/end-to-end/functional testing, code review, security checks)
Hands-on experience with ML frameworks such as PyTorch, scikit-learn, XGBoost, or TensorFlow.
Experience with graph databases / Spanner Graph and Graph Neural Networks (GNN)
Strong communication, analytical, debugging, and cross-functional collaboration skills.
Ability to write clean, efficient, and reusable code.
Plus if you have experience with distributed / federated query engines such as Trino.

Preferred Qualifications

Experience with telecom industry data and network architecture.
Post-secondary degrees or certificates in Statistics, Mathematics, and Data Science.
Experience deploying secure agentic workflows with cost management and decision traceability.

Adequate knowledge of French is required for positions in Quebec.

Additional Information:

Position Type: Management
Job Status: Regular - Full Time
Job Location: Canada : Ontario : Mississauga || Canada : Ontario : Don Mills
Work Arrangement: Hybrid
Application Deadline: 10/16/2026

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 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.

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.

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, Mississauga

Bell, one of Canada's Top 100 Employers.

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More about this job

Responsibilities

You will collaborate with data scientists to operationalize ML models and LLM workflows, ensuring they transition from proof-of-concept to highly available production services. Additionally, you will design robust, event-driven architectures and implement MLOps best practices to maintain scalable and performant systems.

Requirements

Candidates must have a bachelor's degree in Computer Science or Engineering and at least 5 years of professional software engineering experience with production-grade AI/ML systems. Proficiency in Python, the GCP stack, and Infrastructure as Code is essential for this role.

Skills

Python
Machine Learning
MLOps
GCP
Vertex AI
Kubernetes
Terraform
Apache Beam
Dataflow
Kafka
PubSub
Software Engineering
Distributed Systems
API Design
Graph Neural Networks
CI/CD

Benefits

Medical benefits
Dental benefits
Vision benefits
Mental health benefits
35% discount on services
Exclusive partner offers
Professional growth opportunities
Employee wellness programs

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
AIOps
Python
GCP
Vertex AI
BigQuery
Spanner
GKE
Pub/Sub
MLOps
CI/CD
Apache Beam
Dataflow
Kafka
Terraform
CDKTF
Kubernetes
PyTorch
Scikit-learn
XGBoost
TensorFlow
Graph Neural Networks
Trino
Cloud-native
Event-driven architecture
Infrastructure as Code
Software Engineering
Distributed systems
LLM
Agentic workflows

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