Data Science, AI ML Technical Lead

Role Summary: Experienced Tech Lead / Senior Technical Lead - driving AI and Azure-based solutions, specializing in Copilot/agent platforms and enterprise integrations. Experience: 9+ Yrs Primary Skills (Must have hands on experience): GenAI Expertise: 2+ years of experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. 2+ years of experience in developing Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition.2+ years of experience in developing goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions.2+ years of experience in optimizing Azure OpenAI models for enhanced performance and scalability.2+ years of experience in integrating OpenAI models into software applications using OpenAI APIs.2+ years of Build multi-turn conversational flows in Microsoft Copilot Studio, leveraging topics, triggers, adaptive cards, and generative answers2+ years of exp in creating custom connectors and plugins to integrate with enterprise platforms like Workday, ServiceNow, Jira, and Confluence As a Lead Data Scientist specializing in OpenAI technology and Cognitive Services, you will lead the design and development of AI applications and models powered by OpenAI's state-of-the-art models. You will collaborate with cross-functional teams to build innovative AI solutions. Leading the design and implementation of GenAI projects. The Lead Data Scientist will also be responsible for providing technical guidance and leadership to the team and ensuring that projects are delivered on time and to a high standard. Proven experience as a Data Scientist/AI Developer with expertise in machine learning and data science.Design and develop GenAI-powered chatbots and virtual assistants using RAG (Retrieval-Augmented Generation) techniques.Experience in creating AI agents using agentic frameworks like langGraph, autogen, etc.Programming and Implementation: Write high-quality, efficient code in Python for AI model development, with a strong focus on OpenAI libraries and frameworks.Design RAG pipelines that ingest data from structured and unstructured sourcesIntegrate OpenAI models into software applications and systems, ensuring seamless functionality.Collaboration: Collaborate closely with data scientists, engineers, and product managers to translate project requirements into technical specifications.Proof of Concept: Participate in the development of proof-of-concept projects to explore the feasibility of OpenAI solutions. Be part of a high-impact team building next-generation AI and Copilot solutions at enterprise scale. .