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Lead ML/AI in Bangalore with broad LLM/search requirements attracts many qualified applicants.
Requires industry-specific heavy-equipment/search experience plus ML/LLM expertise, reducing cross-industry transferability.
Explicit 5+ years, mandatory search/LLM and MLOps experience makes shortlisting highly selective.
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Own the technical strategy and long-term vision for the search AI/ML/LLM platform, ensuring scalability and adaptability.
Lead and mentor a team of search engineers in developing advanced search algorithms including NLP, vector search, personalization.
Develop, optimize, and deploy search models (e.g., Learning-Rank, Lambda MART, Deep Ranking), focusing on measurable KPIs like CTR and user behavior analytics.
Strong experience deploying search-related ML models in large industrial, automobile, or manufacturing parts applications.
Proficiency in fine-tuning and prompt engineering for Large Language Models, including Retrieval-Augmented Generation and indexing techniques.
Experience with ML platforms, MLOps, and deploying models via APIs in cloud environments (AWS, Azure, or GCP).
Work Experience Required: Typically 5+ years of relevant experience in data science or machine learning roles.
Senior data science professional with hands-on expertise in search algorithm development and leadership of engineering teams.
Background in industrial or manufacturing domains, particularly heavy equipment or automotive parts data.
Experienced in coordinating cross-functional teams to align AI/ML initiatives with business objectives and measurable outcomes.