Senior Azure AI / MLOps Engineer
About The Position
CTG is seeking to fill a Senior Azure AI / MLOps Engineer position for our client. This is a remote, 6-month contract role with the possibility of extension. The role involves designing and implementing enterprise-scale Azure AI/ML platforms, building and operationalizing MLOps pipelines, architecting secure and scalable Azure environments, and developing/deploying ML models with full lifecycle automation. Responsibilities also include building Microsoft Fabric Lakehouse architectures, developing data ingestion pipelines, implementing monitoring and alerting, designing dashboards, and enabling real-time analytics. Ensuring security, compliance, governance, and cost optimization are key aspects of the role.
Requirements
- 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
- 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
- Experience working in enterprise or Agile cross-functional teams
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
- Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.
Nice To Haves
- Background in manufacturing, supply chain, or industrial analytics preferred
- Microsoft Azure certifications strongly preferred: Azure Solutions Architect Expert, Azure AI Engineer Associate, Azure Data Engineer Associate
Responsibilities
- 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.
Benefits
- competitive benefit package
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
