Senior Azure AI / MLOps Engineer

Senior Azure AI / MLOps Engineer

CTG is seeking to fill a Senior Azure AI / MLOps Engineer position for our client. Location: Remote Duration: 6 months, with possibility for extension Duties: Design and implement enterprise-scale Azure AI/ML platforms supporting production workloads. Build and operationalize end-to-end MLOps pipelines using Azure ML, Microsoft Fabric, and CI/CD frameworks. Architect secure, scalable Azure environments (VNets, RBAC, Entra ID, private endpoints, Key Vault). Develop and deploy ML models with full lifecycle automation (training, validation, registration, monitoring, rollback). Build Microsoft Fabric Lakehouse architectures using medallion design (Bronze/Silver/Gold). Develop data ingestion pipelines integrating SAP, Snowflake, Azure SQL, IoT, and manufacturing systems. Implement monitoring, observability, and alerting using Azure Monitor, Log Analytics, and Application Insights. Design dashboards and operational reporting using Power BI and Azure Workbooks. Enable real-time and near-real-time analytics using Microsoft Fabric Eventstreams and KQL databases. Ensure security, compliance, governance, and cost optimization across AI/ML environments. Skills: Azure (Machine Learning, Fabric, Data Factory, Monitor, Key Vault, Networking) Strong MLOps expertise (CI/CD, MLflow, model lifecycle management) Python, PySpark, and data engineering pipelines Infrastructure as Code (Terraform, Bicep, or ARM) Cloud security, identity management, and enterprise architecture Power BI (semantic models, dashboards) Lakehouse architecture (medallion pattern) Strong understanding of DevOps and production ML systems Experience with real-time data processing (KQL, Eventstreams) preferred Experience: 5+ years in cloud engineering, MLOps, data engineering, or AI platform roles Proven experience building production-grade ML pipelines in Azure Experience with enterprise data integrations (SAP, Snowflake, Azure SQL, IoT systems) Experience implementing cloud governance, security, and monitoring frameworks Background in manufacturing, supply chain, or industrial analytics preferred Experience working in enterprise or Agile cross-functional teams Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Microsoft Azure certifications strongly preferred: Azure Solutions Architect Expert Azure AI Engineer Associate Azure Data Engineer Associate Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.