As an ML Engineer, you will be responsible for managing and advancing 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, making a significant contribution to Pricenow’s success.
You will lead the integration, optimization, and orchestration of machine learning models to enhance forecasting capabilities across various applications, particularly dynamic pricing.
You will design the structure and schema of our machine learning landscape and drive the evolution of our end-to-end pipeline architecture, with a strong focus on automation, reproducibility, and scalability.
You will be closely involved in defining and implementing our data-driven vision and participate actively in decision-making processes.

Minimum 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, plus software engineering skills to build and maintain ML pipelines in Python
Strong analytical and statistical skills to evaluate 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 prioritize and manage multiple projects effectively in multidisciplinary, international, and multicultural environments
Team player with a passion for innovation and agility; comfortable working in a self-organized way from concept to successful implementation
Fluent in English; German is an advantage.

Real-world impact — no two projects are the same
Work with leading international brands in the tourism industry, offering unique learning and development opportunities
Choose your workspace: use our co-working office or take advantage of a flexible home office option
Help shape the company: join a fast-growing organization and play a decisive role in the product and development process
Personal development: short decision-making paths and flat hierarchies provide excellent opportunities for career growth
Enjoy our team culture: regular team events at ski resorts, outdoor adventures, and after-work gatherings

Senior Machine Learning Engineer

Key skills