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5 days ago
We are seeking a highly skilled professional to drive the technical depth, accuracy, and instructional value of our training content related to Azure Data & AI.
About the Role:- This position involves defining and validating learning content aligned to key certification paths including DP-203, AI-102, and DP-100.
- The ideal candidate will provide technical guidance on Azure data pipelines, lakehouse architecture, and ML/AI integration.
- Key responsibilities include designing and reviewing labs and walkthroughs using Synapse, Data Factory, Databricks, and Cognitive Services.
- The successful candidate will translate AI/ML concepts into structured training materials.
- Staying current with Microsoft's evolving data/AI ecosystem is also crucial.
- A high level of quality, realism, and accuracy must be ensured across all deliverables.
- 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
- A minimum of 7 years' experience in roles such as data engineer, ML engineer, AI architect, or applied data scientist.
- Proficiency in Spark, Python, SQL, and REST APIs is required.
- A strong grasp of AI-based application architecture, ethical AI practices, and cloud-scale data governance is essential.
- The ability to bridge technical concepts for instructional teams and content developers is critical.
- Certifications: DP-203, AI-102, DP-100 (highly preferred)
- Experience building or validating technical training content is advantageous.
- Familiarity with GitHub, markdown, Jupyter Notebooks, or SCORM can be beneficial.
- Prompt engineering and Azure OpenAI orchestration tool experience is desirable but not mandatory.
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