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. About CTG CTG, a Cegeka company, delivers IT and business solutions that enhance clients' digital agility, empowering them to seize new opportunities and overcome any challenge.