AI Developer - Azure Data Platform

We are looking for Azure Data Platform & AI experts passionate about developing world-class training content, lab exercises, and learning experiences that help professionals master data engineering and AI on Microsoft Azure.

In this role, you will design hands-on training modules, test lab manuals, and proof-of-concept scenarios that demonstrate how to build and deploy scalable AI-driven data solutions using Azure Data Platform services.

Key Responsibilities

Develop hands-on labs, structured training modules, and real-world scenarios focused on Azure Synapse, Data Lake, Data Factory, and Databricks.
Create step-by-step lab manuals and documentation for learners to practice real-world data engineering and AI scenarios.
Design proof-of-concept projects and sample datasets to simulate business challenges.
Build AI-driven analytics exercises using Azure AI, Azure Machine Learning, and OpenAI services.
Develop structured learning paths covering data ingestion, transformation, storage, and analytics on Azure.
Create real-time streaming and event-driven data processing labs using Azure Event Hubs, Kafka, and Stream Analytics.
Work with instructional designers to ensure content is engaging, learner-friendly, and aligned with industry best practices.
Optimize training environments for scalability and seamless deployment.
Stay updated on the latest Azure Data & AI advancements and incorporate them into learning materials.
Support hackathons, AI boot camps, and data challenges by developing hands-on exercises.

Required Skills & Experiences

5+ years of experience in Azure Data Platform, data engineering, and AI/ML development.
Expertise in Azure Synapse Analytics, Data Lake, Data Factory, and Databricks.
Strong SQL and data modeling skills for enterprise-grade data warehousing.
Experience building training content, lab manuals, or structured learning materials.
Proficiency in Python, PySpark, or Scala for data engineering and AI/ML applications.
Hands-on experience with real-time data streaming (Event Hubs, Kafka, Stream Analytics).
Strong understanding of Azure AI services, OpenAI, and Azure Machine Learning.
Experience designing step-by-step guides and practical exercises for learners.
Knowledge of CI/CD pipelines, infrastructure-as-code (Terraform, Bicep), and Azure DevOps.

Nice To Have Skills

Experience with LLM fine-tuning and prompt engineering.
Exposure to Power BI, Fabric, and self-service analytics training.
Experience facilitating hackathons, data challenges, or certification boot camps.
Certification in Azure Data & AI (DP-203, AI-102, or we offer :
Opportunity to create training content for the latest Azure Data & AI technologies.
A fast-paced, innovation-driven environment focused on upskilling professionals.
Flexible work location and schedule.
Competitive compensation and performance-based incentives