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Strong Tier-1 brand, metro location, and visible senior GenAI role increase competition density.
Deep GenAI, ML infrastructure, and large-scale systems expertise required, limiting industry transferability.
Multiple explicit years and specific GenAI/ML infrastructure requirements enforce strict shortlisting filters.
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Lead design and development of large-scale GenAI software solutions within Google Ads, focusing on model deployment, evaluation, and optimization.
Provide technical leadership to manage project priorities, timelines, and deliverables across distributed engineering teams.
Drive alignment and clarity across cross-functional teams, influencing and coaching engineers on ML infrastructure and data preparation strategies.
Bachelor’s degree or equivalent practical experience.
8 years programming experience in Python or C++.
5 years leading ML design and optimizing ML infrastructure including model deployment and fine tuning.
3 years experience with state-of-the-art GenAI techniques (LLMs, Multi-Modal, Large Vision Models) or GenAI concepts (language modeling, computer vision).
Experienced technical leader with at least 3 years in guiding projects and setting technical direction in complex, matrixed organizations.
Strong expertise in ML infrastructure and GenAI model lifecycle including deployment, evaluation, debugging, and optimization.
Comfortable managing cross-functional teams and influencing engineering efforts at scale within a large technology company.