Senior MLOps Engineer, Foundational Data Products
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 12000 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:
- Youll 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.
- Youll 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 well 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 dont hesitate to get in touch at .
Were 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
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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