Description

You will drive the technical depth and accuracy of training content focused on Azure’s modern data and AI stack.

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 using Synapse, Data Factory, Databricks, and Cognitive Services.
• Translate AI/ML concepts, including model lifecycle, prompt engineering, and Responsible AI, into structured training materials.
• Ensure technical realism and accuracy across all deliverables by collaborating with writers and stakeholders.

Required Skills

• 7+ years of experience as a data engineer, ML engineer, AI architect, or applied data scientist.
• Hands-on experience with Azure Synapse, Data Factory, Databricks, Data Lake Gen2, and Cosmos DB.
• Proficiency in Azure OpenAI, Cognitive Services, Azure Machine Learning Studio, and Responsible AI.
• Strong command of Spark, Python, SQL, and REST APIs.
• Deep understanding of AI-based application architecture and cloud-scale data governance.
• Ability to bridge complex technical concepts for instructional teams and content developers.
• Any Graduate degree.

Preferred Skills

• DP-203, AI-102, or DP-100 certifications.
• Experience building or validating technical training content.
• Familiarity with GitHub, markdown, Jupyter Notebooks, or SCORM.
• Experience with prompt engineering and Azure OpenAI orchestration tools like LangChain or Semantic Kernel.

Key Skills

Education

Any Graduate