Microsoft Azure Data

3 days ago

Salem, Tamil Nadu, India Technofocus Full time
OverviewWe are seeking a Subject Matter Expert (SME) in Azure Data & AI to drive the technical depth, accuracy, and instructional value of our training content.
You'll lead the definition and review of presentations, labs, and real-world scenarios on Azure's modern data and AI stack, working closely with content creators to shape advanced, certification-aligned learning experiences.Key ResponsibilitiesDefine and validate learning content aligned to DP-203, AI-102, and DP-100 certification pathsProvide technical guidance on Azure data pipelines, lakehouse architecture, and ML/AI integrationDesign and review labs and walkthroughs using Synapse, Data Factory, Databricks, and Cognitive ServicesTranslate AI/ML concepts (e.g., model lifecycle, prompt engineering, RAI) into structured training materialsStay current with Microsoft's evolving data/AI ecosystem including Open AI integration and Fabric convergenceEnsure quality, realism, and accuracy across all deliverables, collaborating with writers and stakeholdersRequired SkillsDeep hands-on experience in:Data: Azure Synapse, Data Factory, Databricks, Data Lake Gen2, Cosmos DB, Event Hub AI: Azure Open AI, Cognitive Services, Azure Machine Learning Studio, Responsible AI   7+ years in roles such as data engineer, ML engineer, AI architect, or applied data scientistProficient with Spark, Python, SQL, and REST APIsStrong grasp of AI-based application architecture, ethical AI practices, and cloud-scale data governanceAbility to bridge technical concepts for instructional teams and content developersGood-to-HaveCertifications: DP-203, AI-102, DP-100 (preferred, not mandatory) Experience building or validating technical training contentFamiliarity with Git Hub, markdown, Jupyter Notebooks, or SCORMExperience with prompt engineering and Azure Open AI orchestration tools (e.g., Lang Chain, Semantic Kernel)

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