Senior Machine Learning Engineer
Offre en anglaisThe role focuses on delivering end-to-end machine learning solutions, from data preparation and model development to deployment and monitoring. The engineer will build scalable ML pipelines and integrate these solutions into enterprise applications and operational workflows.
- Sur place
- Toronto, ON
- Publié 26 août 2026
- Postuler avant le 25 sept. 2026
- 1 poste
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Résumé du poste
"Skills and Responsibilities: We are looking for an experienced Senior Machine Learning Engineer to support the AI CoE’s Machine Learning and Data Science initiatives. • The ideal candidate will have strong hands-on experience building, deploying, and operationalizing machine learning solutions in cloud environments, with expert knowledge of SQL and Python and deep experience with Azure ML, Databricks, MLflow, CI/CD pipelines, MLOps, model deployment, monitoring, and lifecycle management. • This is a highly technical, hands-on role focused on delivering end-to-end ML solutions, including data preparation, feature engineering, model development, deployment, monitoring, and ongoing production support. • The role requires proven experience taking models from prototype to production, building scalable ML pipelines and services, and integrating machine learning solutions into enterprise applications and operational workflows. • Experience with cloud-native ML platforms, automated deployment processes, and production support is essential. • Experience with Generative AI, LLM applications, agentic AI frameworks, and GenAIOps practices — including evaluation, monitoring, deployment, and lifecycle management of GenAI solutions — would be considered an asset. • In addition to technical depth, we are looking for someone who can work independently, collaborate effectively with data scientists and engineers, and help accelerate the delivery of enterprise AI solutions from proof of concept through production deployment.
Ce que vous ferez
The role focuses on delivering end-to-end machine learning solutions, from data preparation and model development to deployment and monitoring. The engineer will build scalable ML pipelines and integrate these solutions into enterprise applications and operational workflows.
Exigences
Candidates must have expert knowledge of Python, SQL, and cloud-native ML platforms like Azure ML and Databricks. Experience in taking models from prototype to production and familiarity with Generative AI and LLMs is highly valued.
Compétences indiquées
- SQLSouhaitée
- CI/CDSouhaitée
- Apprentissage automatiqueSouhaitée
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Machine Learning
- Python
- SQL
- Azure ML
- Databricks
- MLflow
- CI/CD
- MLOps
- Model Deployment
- Feature Engineering
- Generative AI
- LLM
- Agentic AI Frameworks
- GenAIOps
- Data Preparation
- Production Support
Domaines d’emploi
- Technology
- Data & Analytics
- Software
- Engineering
- Science & Research
Renseignements supplémentaires
- Expérience minimale
- 5+ ans
- Postuler avant le
- 25 sept. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte