Senior MLOps Engineer, Foundational Data Products at GetYourGuide

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Data Engineering, Data Science, MLOps, Communication Skills, Collaboration Skills, Cloud DevOps, Infrastructure Mindset, Autonomy, Proactivity, Customer Orientation, Mentoring, Knowledge Sharing, Interest in LLMs, Generative AI

Industry

Software Development

Description

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 As a Senior MLOps Engineer in the Foundational Data Products (FDP) team, you will be a key part in defining, scaling, and driving system health for core data products that power the entire GYG organization. FDP builds data products with organization-wide reach, from sales to supply to the marketplace, focusing on fundamental entities such as categories, locations, and activities. Our work often has to do with at-scale deciding how such entities relate to one another, to discover new entities from data, etc. 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: 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: previous experience in organizing and querying data at scale data warehouses, tools like 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 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 40 days per year Flexible working arrangements to support work-life balance 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

Responsibilities

You will design and implement systems and tools for scalable machine learning solutions. Your role involves increasing the number of data products in production reliably and reducing operational costs.