Senior ML Ops Engineer, AI Platform Team

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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401(k) match

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Market context

Median wage (BLS OEWS)

$61,842 national median

Projected growth (BLS Employment Projections)

+1.9% - Slower

Matched to SOC 11-1021 - Operations aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Senior ML Ops Engineer, AI Platform Team Berlin Change the way the world travels Be part of the GetYourGuide journey and connect people with unforgettable travel experiences worldwide. Since 2009, millions of travelers have booked unique activities with us in over 12,000 cities. Our headquarters in Berlin is supported by 16 other local offices across the globe. Ready to join a diverse community of over 850 fellow explorers dedicated to revolutionizing the travel experience industry? Check out our careers site to learn more. Team mission Since 2020, GetYourGuide has established a Machine Learning (ML) Platform team, providing the tools and best practices to help the Data Products team build and maintain production-ready ML/AI systems. The team's mission is to enable our diverse teams and ML/AI use-cases via self-service tools and automation. More recently the team was renamed as AI Platform Team as a way to better reflect our ambition to become an AI-first organization. As a Senior MLOps Engineer, you'll join our AI Platform Team and have a chance to make an enormous impact across all of our data products. You'll work closely with our Data Products teams to build systems that enable ML/AI algorithms to go to production. If you are interested in contributing to the success of a product that is used by millions of travelers around the world then keep on reading. Your mission: - You'll design and implement systems and tools for scalable and more efficient machine learning solutions. - You will work to increase the

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