
Azure Data and AI Professional
1 week ago
We are seeking a Subject Matter Expert (SME) in Azure Data & AI to drive technical depth, accuracy and instructional value of our training content.
- Lead 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.
- Define and validate learning content aligned to DP-203, AI-102 and DP-100 certification paths.
Key Responsibilities:
- 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 into structured training materials.
- Stay current with Microsoft's 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 and Qualifications
- 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.
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.
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