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Machine Learning Engineer (m/f/d)

City:  Munich
Job area:  Product & IT
Job field:  Product & IT
Seniority Level:  Mid-Senior level
Date:  Sep 8, 2022

Destination Solutions. The smartest way to rent out holiday homes.

At Destination Solutions we believe there’s a smarter way for hosts, property managers and DMOs to maximize the performance of their rentals. So, as a travel tech company, we’ve created an end-to-end holiday rental platform. We’re the leading aggregator in the DACH region. We bring properties online and distribute them on our unrivalled marketplace with over 600 channels, from big OTAs to smaller regional partners, we’ve got them all covered. We offer a full-service with an intuitive suite of next generation solutions, with everything from property management, payment solutions to channel management, revenue optimization, and handling of guest relationships. It’s how we’re shaping holiday rentals - through our platform, our people and our partnership approach.

Destination Solutions is part of the globally acting HRS Group. HRS is reinventing the way businesses and governments work, stay and pay in today’s dynamic global marketplace. HRS’ advanced platform technology is extending its reach beyond hospitality to meetings, office space management, payment efficiency and crisis recovery. 

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We are looking for a Machine Learning Engineer (m/f/d) who will help us bring our Revenue Management System forward, drive the associated business decisions, and have the most direct influence on its success. Our Revenue Management System leverages the latest technology and algorithms, such as Machine Learning, to ensure accurate and competitive pricing for our customers. There's never a lack of challenging tasks in this domain, be it future demand and revenue prediction or optimisation and computation of a dynamic price.


  • Be a part of our Revenue Management team to further develop and maintain the related products
  • Automate infrastructure provisioning (infrastructure as code) and code/model deployments (CI/CD)
  • Data formatting and processing to build the foundation layer for dashboards and self-service  reporting. Work on data transformation, using ETL tools. Build dimension views and fact tables.
  • Troubleshoot data anomalies together with engineering teams


  • A successfully completed degree in computer science, mathematics or comparable
  • Deep knowledge of theoretical and applied statistics and machine learning
  • Experience in building data science models and of programming with Python and SQL
  • Extensive knowledge in software engineering and architecture and Infrastructure or related concepts
  • Good to have:
    • Experience with ETL tools like Snowflake, DBT and Tableau
    • Experience with AWS and CDK
    • Understanding of distributed systems, CI/CD and container technologies
  • A desire to quickly learn new technologies and work on existing code
  • Very good teamwork and communication skills
  • Fluent in English and German in spoken and written form


We hire the most likely to win and develop to become the best. You will grow with us in a highly attractive market both personally and professionally throughout this unique journey. You will actively contribute to making our products and solutions for the customer better, smarter and more sustainable.
Our entrepreneurial driven environment of full ownership and execution focus offers you the playground to contribute to a greater mission.

As a Travel Tech company we represent an innovative organizational culture with a flat hierarchy, a hands-on mentality and room for own ideas. We are constantly growing with more than 70 team members, with a vivid mix of experience, agility and creativity, at four offices and additional home offices.
HRS offers access to a global network of a globally united and mutually responsible “Tribe of Intrapreneurs” that is passionately dedicated to renew the travel industry.


The position can be based in proximity to one of our offices in Cologne or Munich but also can be primarily home office based.

The attractive remuneration is in line with the market and, in addition to a fixed monthly salary, all necessary work equipment and mobility, will also include an annual bonus.

Req ID:  14242

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