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Senior ML Ops Engineer, AI Platform Team
Отличная вакансия в известной компании с сильной инженерной культурой. Предлагаются привлекательные бонусы (бюджет на обучение, гибридный график, релокация в Берлин) и работа с современным стеком технологий.
Сложность вакансии
Роль требует глубоких знаний как в Software Engineering, так и в специфике MLOps (Spark, Python, инфраструктура). Высокий уровень ответственности за платформу, которой пользуются другие команды, и необходимость менторства повышают планку входа.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Senior MLOps в Берлине рыночный диапазон составляет 85,000–110,000 евро в год. GetYourGuide обычно предлагает конкурентоспособные зарплаты, соответствующие верхнему децилю рынка для опытных инженеров.
Сопроводительное письмо
I am writing to express my strong interest in the Senior ML Ops Engineer position within the AI Platform Team at GetYourGuide. With over four years of experience in scaling MLOps practices and a deep background in Python and data engineering, I have consistently focused on reducing time-to-production and enhancing the reliability of machine learning systems. My experience aligns perfectly with your mission to transition into an AI-first organization through self-service tools and automation.
In my previous roles, I have successfully collaborated with Data Science teams to bridge the gap between experimental models and production-ready services. I am particularly drawn to GetYourGuide's hybrid work culture and the opportunity to work on high-scale systems that impact millions of users. I am eager to bring my expertise in Spark, cloud infrastructure, and my growing interest in Generative AI to help your team achieve its ambitious goals.
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Присоединяйтесь к команде GetYourGuide в Берлине и создавайте будущее AI-платформы для миллионов путешественников!
Описание вакансии
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 amount of data products in production reliably, reduce the time to production, and reduce operational costs.
- You'll be partnering/collaborating with product teams to bring advanced algorithms into production, following MLOps best practices.
Your toolkit:
- Data Science & MLOps: Data Scientists are close stakeholders for you. You share a genuine interest in Artificial Intelligence and Machine Learning. You bring 4+ years of experience in applying MLOps best practices at scale.
- Software Engineering: You have strong fundamentals in Computer Science and a polyglot mindset. Python is your language of choice; you are able to migrate between various programming languages though. Delivering clean code and investigating new tools, languages, and practices is your passion.
- Data Engineering: You bring previous experience in organizing and querying data at scale data warehouses, tools like Spark are not novelty for you.
- Business Experience: You possess the ability to prioritize and manage stakeholders; they know you for your good communication and collaboration skills.
- Vision: Your ideas turn into reliable and maintainable code. A track record of outcome-driven work gives evidence of this. You are experienced in operating at scale; you have a cloud DevOps / infrastructure mindset.
- Autonomy: Your mindset can be described as autonomous, proactive and customer-oriented. You own your projects.
- Teamwork: You strongly believe that a team is more than the sum of its members. Mentoring and sharing knowledge are fulfilling activities for you.
Extras that give you an edge:
- Prior experience in scale-up environments with various technologies
- Interest in LLMs and the new challenges of Generative AI
How we’ll make your career journey extraordinary
- Annual personal growth budget and mentorship programs for continuous learning and development
- Work from anywhere in the world for 30 days per year
- A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
- Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
- Monthly transportation and fitness budget
- Discounts for you, your friends, and family on GetYourGuide activities
- Language reimbursement program
- Health and wellness benefits
And more…
How to apply
Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.
We’re an equal opportunities employer
Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.
#LI-Hybrid
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Навыки
- Python
- Machine Learning
- Software Engineering
- Large Language Models
- Data Engineering
- MLOps
- DevOps
- Apache Spark
- Cloud Infrastructure
- Generative AI
Возможные вопросы на собеседовании
Проверка опыта построения инфраструктуры для жизненного цикла моделей.
Расскажите о самом сложном конвейере CI/CD для ML, который вы проектировали: как вы обеспечивали воспроизводимость и мониторинг моделей?
Оценка навыков работы с большими данными, упомянутых в вакансии.
С какими основными проблемами производительности вы сталкивались при использовании Spark для подготовки признаков (feature engineering) и как их решали?
Проверка умения создавать инструменты самообслуживания для других команд.
Как бы вы спроектировали абстракцию над инфраструктурой, чтобы Data Scientist мог развернуть модель в продакшн без глубоких знаний Kubernetes или Terraform?
Оценка готовности к работе с новыми технологиями (LLM).
Какие специфические вызовы для MLOps вы видите в контексте внедрения Generative AI и LLM по сравнению с классическим машинным обучением?
Проверка навыков взаимодействия со стейкхолдерами.
Опишите ситуацию, когда требования команды Data Science конфликтовали с ограничениями инфраструктуры. Как вы пришли к компромиссу?
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