As a ML Engineer, you will be responsible for handling and evolving our machine learning pipeline and will help 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 machine learning applications, contributing significantly to the success of Pricenow.
You will lead the integration, optimization, and orchestration of machine learning models to enhance forecasting capabilities in various applications, particularly dynamic pricing.
You shape the structure and schema of our machine learning landscape and are responsible for evolving the architecture of our end-to-end pipelines, with a strong focus on automation, reproducibility, and scalability.
You are heavily involved in the decision-making process of our data-driven visions.
Requirements
Professional experience as a ML engineer (at least 3 years)
University degree in computer science, data science, mathematics, or similar field
Comprehensive understanding and confident handling of end-to-end machine learning processes, as well as software engineering capabilities to build and maintain machine learning 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 ML Ops principles and tools for automating the machine learning lifecycle
Experience with experiment tracking, model serving and inference pipelines
Preferable: Experience in time-series forecasting, reinforcement learning, recommender systems
Preferable: Experience with Orchestrator Tools (e.g. Argo), as well as Data Warehousing
Ability to effectively prioritize and manage multiple projects, in multidisciplinary, multi-country and multi-cultural working environments
You are a team player who is passionate about innovation and agility as well as working in a self-organized manner from the idea to successful implementation
You are fluent in English, German is an advantage.
Tech Stack
Cloud
Python
Benefits
Real-world impact – No project is ever the same
We work with international top brands in the tourism industry, providing unique learning and development opportunities
Choose your office: work either in the co-working space or use the flexible home office option
Help shape a company: Become part of a fast-growing company and play a decisive role in shaping the development process
Your personal development: Short decision-making processes and flat hierarchies offer you optimal opportunities to develop yourself
Our industries are the passion of our team: Experience regular team events in great ski resorts, adventurous outdoor locations or after-work get-togethers