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Tier-1 brand, mid-level (5+ years) role, and Bengaluru metro location increase applicant competition.
Specialized search, LTR, and generative-LLM expertise tied to enterprise eCommerce makes cross-industry transfer difficult.
Explicit 5+ years requirement plus mandatory ML, search, LLM, and MLOps skills make shortlisting strict.
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Design, develop, deploy, and optimize advanced AI/ML and search relevance models for enterprise search, focusing on ranking, retrieval, and semantic search.
Enhance NLP-driven capabilities including query understanding, intent detection, and apply Generative AI/LLM techniques for search functionality.
Collaborate cross-functionally with product, engineering, and platform teams to align search solutions with business goals and improve KPIs like CTR and relevance.
5+ years of experience in applied data science, machine learning, or search-related systems.
Bachelor’s, Master’s, or PhD in Data Science, Statistics, Computer Science, Engineering, Mathematics, or equivalent technical field.
Strong technical skills in ML model development and deployment, Python programming, and cloud platforms (AWS, Azure, or GCP).
Experience with search relevance techniques (Learning-to-Rank, semantic retrieval, NLP) and Generative AI/LLM approaches.
Experienced in industrial or large-scale enterprise datasets; manufacturing or automotive domain experience is a plus.
Strong practical knowledge of search relevance, personalization models, and MLOps for scalable deployment.
Comfortable working in Agile environments and collaborating across product, engineering, and data science teams for integrated solutions.