Azure AIML Cloud Engineer
Monthly Salary:
Not provided by the employer
Experience Required:
5years
Posted:
27 June 2026 (30+ days ago)
Application Deadline:
24 September 2026
Vacancies:
1 Vacancy
Job Summary
Azure AI/ML Cloud Engineer Azure AI Azure ML Python Cosmos DB
Location: Toronto ON (Hybrid 2 days onsite)
Experience: 68 Years
Role Summary
Design develop and deploy AI/ML solutions on Microsoft Azure while collaborating with data scientists engineers and business stakeholders.
Key Responsibilities
- Build AI/ML solutions using Azure OpenAI Azure Machine Learning and Azure Cognitive Services.
- Develop and deploy ML models using Python R .
- Create end-to-end ML pipelines for data ingestion training deployment and monitoring.
- Architect cloud-native solutions using Azure ML Workspaces Azure Functions and App Services.
- Implement Azure security best practices (Managed Identities Key Vault RBAC).
- Support production issues and continuous platform improvements.
- Work with Cosmos DB REST APIs and microservices.
Required Skills
- Strong experience with Microsoft Azure and Azure AI/ML services.
- Proficiency in Python (TensorFlow PyTorch Scikit-learn).
- Experience with REST APIs microservices SQL and NoSQL (Azure SQL Cosmos DB).
- Azure AI Engineer Associate (AI-102) certification preferred.
Good to Have
- Azure networking (VNet NSG Load Balancer Application Gateway Front Door).
- Security identity and compliance.
- L2/L3 production support cloud migration architecture reviews and technical documentation.