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Machine Learning Engineer

Job in Toronto, Ontario, M5A, Canada
Listing for: Astra North Infoteck Inc.
Full Time position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Azure, Data Engineer
Job Description & How to Apply Below
Job Description

Role Description s:
Design and implement AIML solutions using Azure AI services such as Azure OpenAIAzure Machine Learning Azure 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 leveraging

Azure ML Workspaces Azure Functions Azure App Services Azure 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 as Azure Data Factory Azure Synapse Analytics Azure Databricks Azure Data Lake Storage

Implement MLOps practices using

Azure Dev Ops Git Hub Actions

CICD pipelines for ML models

Model versioning| monitoring| and retraining

Ensure data quality| governance| and lineage

Implement Azure security best practices

Managed identities

Key Vault Role-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 (Tensor Flow| 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 No

SQL data stores (Azure SQL| Cosmos DB)

Azure AI Engineer Associate Certified (AI-102)

Requirements
Android and iOS
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