Role Name: Machine Learning Operations & Support (MLOPs) - MLOPs_EG CO Work site: Calgary, CA (Onsite) Machine Learning Operations & Support (MLOPs) Responsibilities: Provide end-to-end operational support for Machine Learning (ML) workloads across Azure and Databricks, ensuring availability, scalability, and reliability of the Machine Learning (ML) pipelines and infrastructure.

Manage and monitor Azure ML services, Databricks clusters, and underlying cloud infrastructure, responding to incidents and performance degradation.

Support deployment and versioning of Machine Learning (ML) models using CI/CD pipelines, MLflow, Azure Dev

Ops, and containerized environments.

Troubleshoot and resolve issues across the Machine Learning (ML) lifecycle, including data ingestion, model training, model serving, and batch inference jobs.

Implement observability practices using tools like Azure Monitor, Log Analytics, and Datadog to track system health, metrics, logs,



and alerts.

Enforce security and compliance standards across Machine Learning (ML) environments, including access control, key/certificate management, and secure data handling.

Optimize cost and performance of ML infrastructure by managing compute resources, job scheduling, auto-scaling, and right-sizing clusters.

Support automation of operational tasks through scripting (Power

Shell, Bash, Python) for monitoring, deployment, and maintenance workflows.

Collaborate with data scientists and Machine Learning (ML) engineers to provide technical guidance and ensure smooth integration of models into production environments.

Maintain operational runbooks, SOPs, and incident reports to ensure structured support, knowledge transfer, and audit-readiness.

📌 Machine Learning Operations & Support (MLOPs) - MLOPs_EG (Calgary)
🏢 eTeam
📍 Calgary