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Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
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Machine Learning Engineer
Canada
· Full-time
·
Mid-Senior
Role Descriptions: Design and implement AIML solutions using Azure AI services such asAzure OpenAIAzure Machine LearningAzure Cognitive Services (Vision| Language| Speech| Decision)
Develop and deploy ML models using Python| R| or .NET
Build end-to-end ML pipelines including data ingestion| training| evaluation| deployment| and monitoring
Fine-tune and manage LLMs and generative AI solutions where applicable.
Architect cloud-native AI solutions leveragingAzure ML WorkspacesAzure FunctionsAzure App ServicesAzure Kubernetes Service (AKS)
Implement AI model deployment patterns (batch| real-time| and event-driven inference)
Ensure scalability| resiliency| performance| and cost optimization
Work with structured and unstructured data from sources such asAzure Data FactoryAzure Synapse AnalyticsAzure DatabricksAzure Data Lake Storage
Implement MLOps practices usingAzure DevOps GitHub ActionsCICD pipelines for ML models
Model versioning| monitoring| and retraining
Ensure data quality| governance| and lineage
Implement Azure security best practicesManaged identitiesKey VaultRole-Based Access Control (RBAC)
Design AI systems compliant with enterprise and regulatory standards (e.g.| BFSI| HIPAA| PII| GDPR)
Apply responsible AI principles fairness| explainability| transparency| and bias mitigation
Collaborate with data scientists| data engineers| developers| and business stakeholders
Translate business problems into AI-driven technical solutions
Provide technical guidance and mentor junior engineers
Support production issues and continuous improvement initiatives
Technical Skills
Strong experience with Microsoft Azure
Expertise in Azure AI ML services
Proficiency in Python (TensorFlow| PyTorch| Scikit-learn preferred)
Hands-on experience with REST APIs and microservices
Solid understanding of MLOps and CICD practices
Experience with containerization (Docker) and orchestration (AKS)
Knowledge of SQL and NoSQL data stores (Azure SQL| Cosmos DB)
Azure AI Engineer Associate Certified (AI-102)
Develop and deploy ML models using Python| R| or .NET
Build end-to-end ML pipelines including data ingestion| training| evaluation| deployment| and monitoring
Fine-tune and manage LLMs and generative AI solutions where applicable.
Architect cloud-native AI solutions leveragingAzure ML WorkspacesAzure FunctionsAzure App ServicesAzure Kubernetes Service (AKS)
Implement AI model deployment patterns (batch| real-time| and event-driven inference)
Ensure scalability| resiliency| performance| and cost optimization
Work with structured and unstructured data from sources such asAzure Data FactoryAzure Synapse AnalyticsAzure DatabricksAzure Data Lake Storage
Implement MLOps practices usingAzure DevOps GitHub ActionsCICD pipelines for ML models
Model versioning| monitoring| and retraining
Ensure data quality| governance| and lineage
Implement Azure security best practicesManaged identitiesKey VaultRole-Based Access Control (RBAC)
Design AI systems compliant with enterprise and regulatory standards (e.g.| BFSI| HIPAA| PII| GDPR)
Apply responsible AI principles fairness| explainability| transparency| and bias mitigation
Collaborate with data scientists| data engineers| developers| and business stakeholders
Translate business problems into AI-driven technical solutions
Provide technical guidance and mentor junior engineers
Support production issues and continuous improvement initiatives
Technical Skills
Strong experience with Microsoft Azure
Expertise in Azure AI ML services
Proficiency in Python (TensorFlow| PyTorch| Scikit-learn preferred)
Hands-on experience with REST APIs and microservices
Solid understanding of MLOps and CICD practices
Experience with containerization (Docker) and orchestration (AKS)
Knowledge of SQL and NoSQL data stores (Azure SQL| Cosmos DB)
Azure AI Engineer Associate Certified (AI-102)
Key Skills
Ranked by relevance
ai
python
mlops
sql
containerization
kubernetes
tensorflow
pytorch
docker
devops
nosql
hipaa
cloud
cicd
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- Posted
- Jan 28, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Toronto
Industries
Information Services
Categories
Information Technology
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3 roles aligned with this opportunity
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Related
Software Engineer III, Machine Learning, Research and Products
2026-05-26
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Not Applicable
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Information Technology
View Job Details
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DevOps Engineer
2026-05-26
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DevOps Engineer - AWS
2026-05-27
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