Senior Machine Learning Engineer

1 week ago


Varanasi, India Recro Full time

Senior Machine Learning Engineer (Search, Recommendations & Conversational AI) Location: Remote Role Type: Senior IC (P3+) Team: Discovery – Search, Recommendations & AI Experiences Urgency: Immediate (pre–IPL launch milestones) About the Role We 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 Responsibilities - Build 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 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 latency - High throughput - Cost-efficient inference - Implement 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 Qualifications - 4–10 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 models - Embedding models & vector databases - TensorFlow / PyTorch - Proven 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 Qualifications - Experience 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 Join - Work 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.



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