Overview
We are seeking a Subject Matter Expert (SME) in Azure Data & AI to drive the technical depth, accuracy, and instructional value of our training content.
Youll lead the definition and review of presentations, labs, and real-world scenarios on Azures modern data and AI stack, working closely with content creators to shape advanced, certification-aligned learning Responsibilities :
- Define and validate learning content aligned to DP-203, AI-102, and DP-100 certification paths.
- Provide technical guidance on Azure data pipelines, lakehouse architecture, and ML / AI integration.
- Design and review labs and walkthroughs using Synapse, Data Factory, Databricks, and Cognitive Services.
- Translate AI / ML concepts (e.g., model lifecycle, prompt engineering, RAI) into structured training materials.
- Stay current with Microsofts evolving data / AI ecosystem including OpenAI integration and Fabric convergence.
- Ensure quality, realism, and accuracy across all deliverables, collaborating with writers and Skills :
Deep hands-on experience in :
Data : Azure Synapse, Data Factory, Databricks, Data Lake Gen2, Cosmos DB, Event Hub.AI : Azure OpenAI, Cognitive Services, Azure Machine Learning Studio, Responsible AI.7+ years in roles such as data engineer, ML engineer, AI architect, or applied data scientist.Proficient with Spark, Python, SQL, and REST APIs.Strong grasp of AI-based application architecture, ethical AI practices, and cloud-scale data governance.Ability to bridge technical concepts for instructional teams and content :Certifications : DP-203, AI-102, DP-100 (preferred, not mandatory).Experience building or validating technical training content.Familiarity with GitHub, markdown, Jupyter Notebooks, or SCORM.Experience with prompt engineering and Azure OpenAI orchestration tools (e.g., LangChain, Semantic Kernel).ref : hirist.tech)