Senior ML Engineer — Production AI & MLOps

BCE Inc.; Mississauga; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Bell service discounts

Job summary

Bell is seeking a Senior ML Developer to join our AIOps Platform team in Mississauga. You will work with Data Scientists to take AI/ML solutions to production, accelerating delivery of core AI services from PoC to highly available, production‑grade systems.

You will bridge data science and platform operations, applying robust software engineering, intent‑driven development, and MLOps best practices to ensure scalable, reliable, and performant systems.

Qualifications

• Bachelor's degree in Computer Science or Computer Engineering or related field.
• 5+ years of professional software engineering experience, focused on production‑grade AI/ML systems.
• Expert‑level proficiency in Python.
• 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 PoC to production.
• 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).
• 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.

Responsibilities

• Production ML Engineering: Collaborate with data science, platform developers and architects to operationalize ML models and workflows.
• MLOps & Lifecycle Management: Own the end‑to‑end ML lifecycle (feature engineering, training, evaluation, deployment).
• Pipeline & Architecture Design: Build real‑time streaming pipelines and robust event‑driven architectures.
• Design and build high‑throughput, low‑latency system architectures with deduplication.
• API & Service Delivery: Lead API and schema design for complex ML‑enabled services.
• Quality & Reliability: Emphasize testing, code reviews, and security checks across the team.
• Infrastructure Management: Implement Infrastructure as Code (Terraform/CDKTF) for cloud deployments.

Skills

Python

GCP stack

MLOps

Real-time processing

Kubernetes

Testing discipline

AI/ML frameworks

Education

Bachelor's degree in Computer Science or Computer Engineering

Tools

Apache Beam/Dataflow

Kafka

Pub/Sub

Terraform/CDKTF

Kubernetes

Spanner Graph

Job description

Bell is seeking a Senior ML Developer to join our AIOps Platform team in Mississauga. You will work with Data Scientists to take AI/ML solutions to production, accelerating delivery of core AI services from PoC to highly available, production‑grade systems.

You will bridge data science and platform operations, applying robust software engineering, intent‑driven development, and MLOps best practices to ensure scalable, reliable, and performant systems.