Chief Machine Learning Architect

3 days ago


salem, India beBeeMachineLearning Full time

About the RoleWe are developing cutting-edge technology for a prominent entertainment ecosystem.This position is designed for an experienced ML Engineer who can design, train, and productionize large-scale models powering search relevance, retrieval, personalization, and LLM-based conversational experiences.Key ResponsibilitiesBuild and improve ranking, retrieval, and query understanding models.Develop ML components for Conversational Search:Multi-turn context handlingQuery intent detection and classificationRetrieval-augmented generation (RAG) pipelinesReasoning workflows (ReAct, static + dynamic agent flows)Design and optimize 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 latencyHigh throughputCost-efficient inferenceImplement ML pipeline best practices (versioning, monitoring, A/B testing, observability).Collaborate with platform teams to integrate ML services across search, recommendations, and conversational agents.Develop caching strategies to meet strict SLA targets.Contribute to long-term roadmap: foundational retrieval models, multi-objective optimization, user lifecycle modeling.



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