Subject Matter Expert (Tools&Automation)

About the role

We are looking for a Microsoft Fabric Developer who combines strong data engineering fundamentals with applied Machine Learning (ML) and Deep Learning (DL) expertise. The role involves building and operationalizing data pipelines on Microsoft Fabric while embedding predictive and AI-driven capabilities into the platform.

What you'll do

• Design, build, and maintain end-to-end data pipelines on Microsoft Fabric (Data Factory pipelines, Dataflows Gen2, Lakehouse, OneLake)
• Develop and productionize ML and DL models (time-series forecasting, clustering, classification, anomaly detection
• Build and operationalize real-time analytics using KQL, Eventstreams, and Eventhouse for streaming data and automated alerting
• Implement semantic models, Direct Lake datasets, and Power BI reporting layers to surface ML/DL outputs and platform KPIs
• Integrate AI capabilities in Fabric (and complementary Azure ML/Databricks workloads) for data enrichment, feature engineering, and anomaly monitoring

What you need

• 4–7 yrs of experience
• Databricks
• Machine learning
• Azure
• SQL
• Power BI
• Python
• Any graduate

Good to have

• Scikit-learn
• Dashboarding
• Deep learning
• ETL
• Data warehousing
• MLOps