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Tier-1 brand and Bangalore location raise applicant density; senior, specialized role moderates competition.
Highly specialized ML/AI and ads recommender leadership favors industry-specific experience.
Explicit 14+ years and mandatory ML/AI, LLMs, leadership and production experience impose strict filters.
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Lead and manage a team of applied researchers and engineers specializing in NLP, LLMs, recommender systems, and ML production engineering to develop AI systems at scale.
Set technical direction and partner cross-functionally to build and deploy scalable production ML models and platforms driving measurable impact on buyer experience and advertising performance.
Drive talent development and raise technical standards while supporting multiple Ads AI teams including Recommendations Ads, Search Ads, and Ads Guidance.
PhD/MS/BS in Computer Science or related field.
9+ years (PhD), 12+ years (MS), or 14+ years (BS) relevant experience in Engineering, Machine Learning, or AI research.
Experience leading engineering or research teams in ML/AI technology environments.
Strong technical skills in ML, AI, NLP, LLMs, ranking, retrieval, personalization, recommender systems, or related domains.
Experienced technical leader with deep expertise in NLP, large language models, recommender systems, and ML production at scale.
Proven ability to translate ambiguous opportunities into scalable solutions in collaboration with cross-functional teams including product, design, analytics, and business.
Track record of mentoring senior technical talent and setting technical strategy in a cloud-based, big data, distributed systems environment.