Senior Machine Learning Engineer

3 weeks ago


Ontario ON, Canada Hays Full time

Job Title - Senior Machine Learning EngineerLength - 6 month contract (strong extension potential)Client - RetailYour new companyJoin a leading retail company that is dedicated to providing exceptional customer experiences and innovative solutions. This organization is committed to leveraging cutting-edge technologies to drive business growth and enhance operational efficiency.Your new roleAs a Senior Machine Learning Engineer, you will set the technical direction for a domain, select architectures and metrics, harden pipelines at scale, mentor engineers, and consistently land measurable wins. Your tasks will include:Architecting and implementing advanced deep learning models for multimodal You will design and productionize ML pipelines from feature generation through training, validation, model registry, deployment, monitoring, and retraining.You will train and serve models (not necessarily LLMs) for one or more domains such as recommendations, search/ranking, time-series forecasting, or operations research.You will define sound experimental designs (A/B and offline/online alignment), choose appropriate metrics (e.g., NDCG, CTR, MAPE, cost), and guard against leakage.You will deploy models via batch, streaming, or real-time inference using platforms such as MLflow/W&B, Triton/ONNX/TorchServe, and Airflow/Kubeflow, with clear SLOs for drift and performance.You will collaborate with engineering to ensure maintainable services and with product team to translate business objectives into model goals.What you'll need to succeedMaster's or PhD in Computer Science, Machine Learning, or related field7+ years of experience in machine learning engineering, with a focus on recommendation systems or personalizationYou have strong applied ML foundations, including data splitting strategies, regularization, calibration, and interpretability.You have practical experience in at least one of the following: recommendation systems, search/ranking, forecasting, or operations research.You understand deployment of ML models and pipelines in production environments and are comfortable with CI/CD for models.What you'll get in returnCompetitive salary and benefits packageOpportunities for professional growth and developmentA collaborative and inclusive work environmentAccess to cutting-edge technologies and projectsThe chance to work with industry leaders and innovatorsWhat you need to do nowIf you're interested in this exciting opportunity, click 'apply now' to forward an up-to-date copy of your CV, or call us for a confidential discussion.



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