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Lead Conversational Search Engineer
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About the Role:We are developing next-generation conversational search, personalized recommendations, and AI-driven discovery for one of India's largest entertainment ecosystems.This role is for a hands-on Machine Learning Engineer who can design, train, and productionize models powering search relevance, retrieval, personalization, and LLM-based conversational experiences at massive scale.Design and improve search ranking, retrieval, and query understanding models.Develop ML components for Conversational Search: Multi-turn context handling, Query intent detection and classification, Retrieval-augmented generation (RAG) pipelines, Reasoning workflowsOptimize embedding models, vector stores, and similarity search systems.Build personalized ranking and recommendation models using deep learning.Work on large-scale ML systems optimized for low latency, high throughput, cost-efficient inference.Implement ML pipeline best practices.Collaborate with platform teams to integrate ML services across search, recommendations, and conversational agents.Key Responsibilities:4–10 years of experience in Machine Learning / Applied ML engineering.Strong foundations in ML, deep learning, Transformers, and neural retrieval.Familiarity with modern ML stack and ability to work closely with backend teams.Excellent problem-solving skills and comfort working on ambiguous, high-impact problems.Benefits:Opportunity to work on flagship launches impacting hundreds of millions of users.Solve some of the most challenging problems in search, discovery, and conversational AI at scale.
