Senior MLOps Engineer Machine Learning Platform

Description

As a Senior MLOps Engineer, you'll join our Machine Learning 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.

GetYourGuide is the globally leading marketplace for unforgettable travel experiences. Travelers use GetYourGuide to discover the best things to do in a destination. Since its founding in 2009, people from all over the world have booked more than 150 million tours, activities, and attraction tickets through GetYourGuide. Powered by a global team of over 800 travel experts and technologists, we are headquartered in Berlin and have 17 local offices around the world. Visit our careers website to learn more.

Since 2020 we've established a 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.

• You will 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 will be partnering/collaborating with product teams to bring advanced algorithms into production, following MLOps best practices.

• Excellent written and verbal communication skills in English.
• Software Engineering: You have strong fundamentals in Computer Science and a polyglot mind-set. 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: previous experience to organizing and querying data at scale data-warehouses, tools like Hadoop or Spark are not novelty for you. 
• Data Science & MLOps: Data Scientists are close stakeholders for you. You share a genuine interest in Artificial Intelligence and Machine Learning and are proficient in applying MLOps best practices as scale.
• Business Experience: You possess the ability to prioritize and manage stakeholders; they know you for your good communication and your collaboration skills.
• Vision: Your ideas turn into reliable and maintainable code. A track record of result-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.

• Prior experience in scale-up environments with various technologies.
• Interest in LLMs and the new challenges of Generative AI.

• Invest in your development with an annual personal growth budget
• Create a comfortable workspace at home with an annual home office budget
• Become a part of our success with virtual stock options
• Enjoy flexibility with a hybrid work-from-home and telecommuting policy
• Save on transportation costs with discounted public transportation tickets
• Support your loved ones with generous maternity and paternity leave policies

And more...

Unlock your full potential and join our mission to create unforgettable experiences for millions around the world. If you have the skills and passion for joining our team, we invite you to apply by submitting your CV/resume in English through the form below. Check out how we hire for tips and visibility into our process and check out life at GetYourGuide. If you have any further questions, please do not hesitate to contact us via We are an equal opportunity employer

Our commitment is that every qualified person will be evaluated according to skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with the application.