Job Title

Senior Machine Learning Engineer (Search, Recommendations & Conversational AI)Location: RemoteRole Type: Senior IC (P3+)Team: Discovery – Search, Recommendations & AI ExperiencesUrgency: Immediate (pre–IPL launch milestones)About the RoleWe are building 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 ML Engineer who can design, train, and productionize models powering search relevance, retrieval, personalization, and LLM-based conversational experiences at massive scale.You will work closely with backend, platform, and catalog enrichment teams to deliver high-quality ML components under tight performance and latency constraints.Key ResponsibilitiesBuild and improve search 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 (prompt cache, vector cache, similarity caching) to hit strict SLA targets.Contribute to long-term roadmap: foundational retrieval models, multi-objective optimization, user lifecycle modeling.Required Qualifications4–10 years of experience in Machine Learning / Applied ML engineering.Strong foundations in ML, deep learning, Transformers, and neural retrieval.Hands-on experience with:Search systems (retrieval + ranking)Recommendation modelsEmbedding models & vector databasesTensorFlow / PyTorchProven experience building production-grade ML systems at scale.Familiarity with LLMs, RAG architectures, prompt engineering, and agent workflows.Strong coding skills (Python) and experience with modern ML stack (TensorFlow, PyTorch, Faiss/ScaNN, Triton, etc.).Ability to work closely with backend teams to deploy models in distributed systems.Excellent problem-solving skills and comfort working on ambiguous, high-impact problems.Preferred QualificationsExperience with conversational AI, chat-based retrieval, or multi-turn dialog modeling.Experience in media, streaming, sports data or large catalog discovery.Knowledge of micro-drama, short-video personalization, or multi-objective recommendation systems.Strong understanding of scalability patterns: batching, async orchestration, caching layers.Why JoinWork on flagship launches (World Cup → IPL) impacting hundreds of millions of users.Solve some of the most challenging problems in search, discovery, and conversational AI at scale.Collaborate with a world-class team building foundational discovery platforms for India’s largest digital ecosystem.