Job Overview

We are seeking an experienced MLOps Engineer to provide end-to-end operational support for Machine Learning workloads across Microsoft Azure and Databricks. The ideal candidate will have robust experience with ML infrastructure, model deployment, CI/CD, monitoring, cloud operations, and production support.

Key Responsibilities

- Provide operational support for ML pipelines and infrastructure across Azure and Databricks, ensuring availability, scalability, and reliability.
- Manage and monitor Azure ML services, Databricks clusters, and cloud infrastructure.
- Support ML model deployment and versioning using CI/CD, MLflow, Azure DevOps, and containerized environments.
- Troubleshoot issues across the ML lifecycle, including data ingestion, model training, model serving, and batch inference.
- Implement monitoring and observability using Azure Monitor, Log Analytics, and Datadog.
- Ensure security, access control, key/certificate management,



and secure data handling across ML environments.
- Optimize ML infrastructure for cost and performance, including compute resources, scheduling, auto-scaling, and cluster right-sizing.
- Automate operational and maintenance activities using PowerShell, Bash, and Python.
- Collaborate with Data Scientists and ML Engineers to support production model integration.
- Maintain runbooks, SOPs, incident reports, and operational documentation to support knowledge transfer and audit readiness.

Key Skills

Azure ML | Databricks | MLflow | Azure DevOps | CI/CD | Python | PowerShell | Bash | Azure Monitor | Log Analytics | Datadog | Docker/Containers | ML Model Deployment | Cloud Infrastructure | Monitoring & Observability | Security & Compliance

Immediate availability and Calgary onsite availability are required.

📌 MLOps Engineer (Calgary)
🏢 Axiom Global Technologies
📍 Calgary