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Tier-1 brand, mid-level generalist ML/data role in Bangalore attracts many qualified applicants.
Core ML, data, and evaluation skills transfer across industries, though e-commerce taxonomy and knowledge graph experience adds specificity.
Explicit 4+ years plus mandatory SQL/Python and model-evaluation skills raise filtering but LLM experience is preferred.
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Analyze and optimize eCommerce product taxonomy, ontology, and structured data using SQL and Python to improve search and discovery.
Leverage large language models (LLMs) and prompt engineering to develop AI-driven solutions for taxonomy validation, data enrichment, and classification.
Evaluate and improve AI/ML models related to product knowledge, embeddings, and semantic search, collaborating closely with AI, product, and engineering teams.
4+ years of experience in analytics or data science roles.
Strong proficiency in SQL and Python for data wrangling, analysis, and automation.
Experience with eCommerce product analytics, particularly search, recommendations, and knowledge graph applications.
Experience with AI/LLM techniques such as prompt engineering and model evaluation is preferred but not strictly mandatory.
Comfortable working in a fast-paced, startup-like environment with high ownership and cross-functional collaboration.
Experienced in applying data science and AI to eCommerce product taxonomy and discovery problems.
Skilled at translating complex analytical findings into actionable insights for product, AI, and engineering teams.