Job Title

Job Summary: We are seeking an experiencedData Scientist with strong expertise in Generative AI (GenAI)to join our advanced analytics team. The ideal candidate will possess deep understanding of both classical data science methodologies and cutting-edge GenAI technologies. You will work on developing and deploying AI solutions using LLMs, RAG, and cloud-based architectures, and contribute to driving innovation in AI-driven business processes. Key Responsibilities: Design, develop, and deploy GenAI models using LLMs, RAG, and other advanced frameworks. Build and implement AI pipelines using cloud services (AWS/Azure/GCP). Work with cross-functional teams to integrate AI models into business applications. Manage tokenization strategies, chunking, vector stores, and prompt engineering for optimal GenAI performance. Drive research and experimentation in Knowledge Graphs, Vision APIs, and Responsible AI practices. Collaborate with engineering teams for production deployment using Docker, SQL, and versioning tools. Ensure GenAI solutions follow best practices around hallucination control and ethical AI. Must-Have Skills (GenAI): Agent Framework RAG Framework Chunking Strategies LLMs Understanding AI on Cloud Services (AWS, Azure, GCP) LangChain Vector Databases Token Management Knowledge Graphs Vision APIs Prompt Engineering Good-to-Have Skills: AI Algorithms Deep Learning Computer Vision Hallucinations Control Methodology Responsible AI Methodology Technical Skills (Tech):Python (mandatory) Docker SQL Versioning Tools (e.g., Git) Cloud Platforms – AWS / Azure / GCP (at least one is mandatory)