Understand the design and architecture of highly complex ML pipelines and distributed systems, with a view towards making them more resource-efficient while improving the quality of the AI/ML data assets they produce. Drive the adoption of next-generation AI/ML techniques to solve ambiguous business problems, moving from conceptual prototypes to global production. Set the "gold standard" for code quality, testing, and deployment within the team, performing architectural reviews and optimizing system performance.
Mentor executive and mid-level engineers, fostering a culture of technical growth, and represent the team in high-level technical discussions across the broader organization. Partner with researchers to operationalize models and work with product stakeholders to align technical roadmaps with user needs.
Job description provided by Google.
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