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.

What You Will Do

Build and optimize RAG pipelines using LLMs and VLMs to enhance chatbot capabilities and contextual understanding. Integrate Python-based backend services with cloud-native tools for seamless deployment and monitoring.

Why It Might Be a Fit

Experience with Generative AI technologies, Python, and Azure cloud infrastructure. Strong proficiency in software development lifecycles, version control, and CI/CD pipelines.

Requirements

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