Data Scientist

Role Overview

Design and develop scalable applications leveraging Generative AI technologies for software process automation and intelligent data retrieval. Collaborate with cross-functional teams to deploy AI-powered solutions on Azure cloud infrastructure. Continuously evaluate and improve application performance, security, and reliability in production environments.

What You Will Do

Design and develop scalable applications, build and optimize RAG pipelines, integrate Python-based backend services, and continuously evaluate and improve application performance.

Why It Might Be a Fit

The ideal candidate will have hands-on experience with LLMs, VLMs, and RAG architecture, strong proficiency in Python, and experience deploying and managing applications on Azure.

Requirements

• Hands-on experience with LLMs (e.g., GPT, LLama), VLMs, and RAG architecture
• Strong proficiency in Python, including frameworks like FastAPI, LangChain, or similar
• Experience deploying and managing applications on Azure, including Azure Functions, App Services, and Azure AI services
• Familiarity with vector databases (e.g., ChromaDB, Pinecone) and efficient data retrieval techniques
• Solid understanding of software development lifecycles, version control (Git), and CI/CD pipelines