As an ML Engineer, you will be responsible for maintaining and evolving our machine learning pipeline and helping to develop innovative, data-driven applications for the tourism industry.
You will work on our machine learning models and continuously expand and improve the foundation for our ML applications, contributing significantly to the success of Pricenow.
You will lead the integration, optimization, and orchestration of machine learning models to enhance forecasting capabilities across various applications, particularly dynamic pricing.
You will define the structure and schema of our machine learning landscape and be responsible for evolving the architecture of our end-to-end pipelines, with a strong focus on automation, reproducibility, and scalability.
You will be heavily involved in the decision-making process for our data-driven vision.

At least 3 years of professional experience as an ML engineer
University degree in Computer Science, Data Science, Mathematics, or a related field
Solid understanding and hands-on experience with end-to-end machine learning workflows, and strong software engineering skills to build and maintain ML pipelines in Python
Strong analytical and statistical skills to understand and justify model choices and optimizations
Experience with CI/CD and cloud computing
Deep understanding of MLOps principles and tools for automating the machine learning lifecycle
Experience with experiment tracking, model serving, and inference pipelines
Preferred: experience in time-series forecasting, reinforcement learning, or recommender systems
Preferred: experience with orchestration tools (e.g., Argo) and data warehousing
Ability to effectively prioritize and manage multiple projects in multidisciplinary, multinational, and multicultural environments
A team player who is passionate about innovation and agile ways of working and who can operate in a self-organized manner from idea to implementation
Fluent in English; German is an advantage.

Real-world impact — no two projects are the same
Work with international top brands in the tourism industry, providing unique learning and development opportunities
Flexible workplace: choose between our co-working office or the flexible home office option
Help shape the company: join a fast-growing company and play a decisive role in shaping the development process
Personal development: short decision-making processes and flat hierarchies offer optimal opportunities for growth
Our industries are our team's passion: enjoy regular team events in great ski resorts, adventurous outdoor locations, and after-work get-togethers

Senior Machine Learning Engineer

Key skills