Senior Machine Learning Engineer

2 weeks ago

Nadiad, India Recro Full time

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 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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