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Tier-1 employer and Bengaluru location increase applicant density, but senior, specialized GenAI requirements narrow the pool.
Requires deep ML/GenAI and marketplace/catalog experience, making cross-industry transferability limited.
Explicit 9+ years, mandatory Python/SQL and ML/GenAI expertise, and managerial ownership create strict shortlisting filters.
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Lead analytical initiatives influencing product pricing, cataloging, and listing processes to reduce seller listing times.
Develop and evaluate AI-driven proof-of-concept models for Price Mentorship and image-to-text listing experiences using LLMs and VLMs.
Collaborate cross-functionally to translate AI model insights into scalable seller-facing features and establish robust model validation metrics prior to deployment.
9+ years of experience in analytics, data science, or machine learning roles.
Advanced proficiency in SQL and Python for data processing and statistical experimentation.
Hands-on or conceptual experience with generative AI workflows, including Large Language Models (LLMs) and Vision-Language Models (VLMs).
Location requirement: Must be based in Bengaluru, India office.
Proven ability to own and deliver high-impact data science projects under ambiguous product contexts.
Experience or strong interest in digital marketplace domains such as seller workflows, pricing intelligence, and catalog ontologies.
Skilled in designing benchmarking frameworks and evaluation metrics for complex ML model outputs, especially in AI-driven product features.