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.

CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role.

To Apply:

To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!

The expected base salary for this position ranges from $89.00 to $94.00/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.