Qode
Senior ML Engineer
Job Description
Job Title : Senior ML Engineer Location : Toronto, CA Duration : Full-time Role Summary
We 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 Responsibilities
ML Engineering & Model Productionization
Productionize 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 Foundations
Implement and maintain: MLflow (experiments, model registry) CI/CD pipelines for ML Champion/Challenger model frameworks Enable: Controlled rollouts (shadow, ad...
We 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 Responsibilities
ML Engineering & Model Productionization
Productionize 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 Foundations
Implement and maintain: MLflow (experiments, model registry) CI/CD pipelines for ML Champion/Challenger model frameworks Enable: Controlled rollouts (shadow, ad...