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BULLIT SYSTEMS
Consumer Electronics, Telecommunications, Manufacturing, Technology

Azure AI/ML Engineer

Toronto, Ontario, CanadaOnsiteFull TimePosted 1 month ago

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Total Experience: 6-8 years

Required Skill Sets:

• Design and implement AIML solutions using Azure AI services such as Azure Open AI Azure 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 DevOps GitHub 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 (TensorFlow, PyTorch, Scikit-learn preferred)

• Hands-on experience with REST APIs and microservices

• Solid understanding of MLOps and CI/CD 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)

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