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Mid-level ML/search role, metro Bangalore, broad LLM and search requirements, and strong employer brand increase competition.
ML skills transferable, but search and enterprise domain experience raise fit sensitivity.
Requires 5+ years, search/ML specialization, LLM and deployment experience, so screening is stringent.
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Design, develop, and deploy advanced ML, deep learning, and relevance models for enterprise search to enhance result quality and user satisfaction.
Implement and optimize NLP-driven capabilities and Generative AI techniques including Learning-to-Rank, semantic search, and Retrieval-Augmented Generation for scalable search experiences.
Collaborate cross-functionally with product, engineering, and platform teams to align search technologies with business goals and deploy models via ML platforms and cloud environments.
Bachelor’s, Master’s, or PhD in Data Science, Statistics, Computer Science, Engineering, Mathematics, or equivalent technical field.
Typically 5+ years of experience in applied data science, machine learning, or search-related systems.
Strong experience with ML models for search, recommendation, or relevance-driven systems, including Learning-to-Rank and semantic retrieval techniques.
Experience deploying models using ML platforms and cloud services (AWS, Azure, or GCP).
Experienced in working with large-scale enterprise datasets, preferably in industrial, manufacturing, automotive, or eCommerce search domains.
Proficient in applying AI/ML techniques specifically to enhance search relevance, personalization, and recommendations.
Skilled in operationalizing machine learning models in agile delivery environments and collaborating effectively across product and engineering teams.