Job Title : Senior ML Engineer
Location : Toronto, CA
Duration : Full-time
Role SummaryWe are looking for a Senior ML Engineer to design, build, and productionize ML pipelines for a Trust Scoring platform, with a strong focus on replayability, determinism, explainability, and MLOps best practices.
This role is hands‑on and platform‑focused, working across batch inference, real‑time scoring, feature engineering, and model monitoring, within an AWS‑native architecture.
Key ResponsibilitiesML Engineering & Model ProductionizationProductionize PoC ML models into reproducible, governed pipelines
Implement deterministic preprocessing for train vs serve parity
Develop batch and near‑real‑time inference workflows
Generate explainability artifacts (reason codes, score attribution)
MLOps FoundationsImplement and maintain:
MLflow (experiments, model registry)
CI/CD pipelines for ML
Champion/Challenger model frameworks
Enable:
Controlled rollouts (shadow, ...