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Bengaluru · On-site · 1-3 Yrs · Aug 19
Information Technology Support Services · 1 to 50 Employees · Melbourne, Australia
Hiring: Engineering
What employees say
+ No pros at the beginning it will look good
− Demanding environment with long working hours and limited recognition. Work-life balance can be challenging, and there appears to be high employee turnover.
More reviews on the company profile.
Job description
Overview
We are looking for a Data Engineer with strong Azure AI Foundry and AI expertise to design, develop, and deploy scalable data and AI solutions.
Responsibilities
- Design and develop data pipelines using Azure Databricks, Python, and ADF.
- Build and deploy AI applications and agents using Azure AI Foundry.
- Work with LLMs and Prompt Engineering to develop AI-powered solutions.
- Implement scalable data solutions using Medallion Architecture.
- Work with Azure SQL DB, Databricks Apps, CI/CD, and GitHub.
- Ensure solutions are scalable, secure, governed, and production-ready.
- Collaborate with data, AI/ML, and architecture teams.
- Azure Databricks
- Python
- Azure Data Factory (ADF)
- Azure SQL Database
- Azure AI Foundry
- LLMs & Prompt Engineering
- AI Agents / AI Application Development
- Databricks Apps
- CI/CD & GitHub
- Medallion Architecture
Nice to have
- Databricks Mosaic AI
- Knowledge of newer Databricks AI capabilities.
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