Senior Machine Learning Engineer

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

Preferred Qualifications

Why Join