Senior ML Engineer (immediate Joiner) - Remote Eligible

Machine Learning Engineer

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 a 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, and user lifecycle modeling.