Machine Learning Engineer

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profile Job Location:

Toronto - Canada

profile Monthly Salary: CAD 10 - 10
profile Experience Required: 5years
Posted on: 3 hours ago
Vacancies: 1 Vacancy

Job Summary

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

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)


Required Skills:

Android and iOS

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 Build end-to-end ML pipelines including data ingestion training evaluation dep...
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Company Industry

IT Services and IT Consulting

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