Microsoft Azure Data

1 day ago

Greater Kolkata Area, India Technofocus Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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 experiences.

Key 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 stakeholders.

Required 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 developers.

Good-to-Have

  • 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).

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