This is a remote position.

Role: AI Engineer

Workplace type: Remote

Time zone: PST Hours

No of Positions: 2

Rate to Candidate: CAD 65-70/hr + HST

AI Engineer :

Design and implement end-to-end pipelines for deploying models for batch, real-time, and streaming inference.

Package and deploy ML/AI models as scalable, secure services integrated with enterprise applications and APIs.

Build and integrate Retrieval-Augmented Generation (RAG) solutions into enterprise applications.

Manage model versioning, promotion, rollback, and lifecycle transitions across environments.

Build and maintain CI/CD pipelines for AI/ML workflows using Azure DevOps, GitHub, Jenkins, and Databricks integrations.

Automate model training, validation, deployment, and retraining workflows.

Operationalize AI workloads on Azure Databricks, including job orchestration and cluster optimization.

Integrate models with Azure services such as Azure ML, Azure Data Lake, Synapse, and API Management.

Implement RBAC, secrets management, and security controls aligned to enterprise standards.

Implement model monitoring, drift detection, performance metrics, and alerting.

Ensure high availability, resilience, and operational readiness of AI services

📌 AI Engineer (Vancouver)
🏢 I8IS
📍 Vancouver