
Azure Data and AI Professional
3 days ago
The role involves driving technical depth and accuracy of training content on Azure's modern data and AI stack.
Key Responsibilities:
- Develop and validate learning content aligned to certification paths such as DP-203, AI-102, and DP-100.
- 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.
Required Skills:
- Deep hands-on experience in data and AI technologies including Azure Synapse, Data Factory, Databricks, Data Lake Gen2, Cosmos DB, Event Hub, Azure OpenAI, Cognitive Services, and Azure Machine Learning Studio.
- 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.
Preferred Qualifications:
- Certifications: DP-203, AI-102, DP-100.
- Experience building or validating technical training content.
- Familiarity with GitHub, markdown, Jupyter Notebooks, or SCORM.
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