Specialist I - Data Science - Lead Gen AI Architect

9 - 13 years

0 Lacs

Posted:3 days ago| Platform: Shine logo

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Job Type

Full Time

Job Description

Role Overview: As a Lead Gen AI Architect, you will be responsible for leading the design, development, and deployment of advanced AI and Generative AI solutions specifically tailored to the real estate domain. Your role will involve a combination of deep technical expertise, strong architectural leadership, and client-facing capabilities. You will collaborate closely with cross-functional teams and US-based clients, ensuring high-quality delivery and maintaining client interaction during late hours. Key Responsibilities: - Architect and implement end-to-end Generative AI solutions, with a preference for using OpenAI technologies. - Design and build advanced NLP pipelines, including prompt engineering, Retrieval-Augmented Generation (RAG), and model fine-tuning. - Develop and deploy AI Agents to support business automation and dynamic user interaction. - Engage with internal teams and customers to gather requirements, present solutions, and ensure high-quality delivery. - Guide and mentor development teams in writing scalable, maintainable Python code following best Machine Learning practices. - Lead MLOps initiatives for efficient deployment and management of AI models. - Collaborate with US-based teams, maintaining client interaction and delivery alignment during late hours (up to 12 AM IST). Qualification Required: - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. - 9-12 years of hands-on experience in AI/ML/Gen AI, with leadership roles in solution delivery. - Excellent verbal and written communication skills; confident in client-facing scenarios. - Experience or exposure to the real estate domain is an added advantage. Additional Details: Joining this company will allow you to lead innovation at the intersection of AI and real estate, work in a collaborative, impact-driven team environment, contribute to the development of scalable, real-world AI applications, and enjoy a flexible and supportive hybrid work culture. Note: The company values skills in Machine Learning, Natural Language Processing, GenAI, and SQL.,

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