Description

You will build and deploy generative AI solutions using scalable data infrastructure.

Responsibilities

• Design and implement microservice-based architecture for GenAI solutions.
• Develop and manage scalable data processing pipelines from large-scale sources.
• Own the CI/CD pipelines for automated testing and deployment of AI applications.
• Implement and optimize Retrieval Augmented Generation (RAG) patterns, including data indexing and chunking.
• Set up monitoring for model performance, tracking metrics like accuracy, latency, and throughput.

Required Skills

• 5+ years of professional experience.
• Expert knowledge of the Azure cloud environment for GenAI solution development.
• Proficiency in Python and SQL.
• Hands-on experience with Azure DataBricks and Azure Data Factory.
• Practical experience with CI/CD Pipelines for automated deployment.
• Solid understanding of generative AI models and algorithms.
• Experience working with RAG Patterns.

Key Skills

Education

Any Graduate