.[ONLY APPLICATIONS & CV IN ENGLISH WILL BE CONSIDERED FOR THIS ROLE]Joining the TUI Musement Data Science & Analytics Team as a Machine Learning Engineer, you will be providing support to the Data Science experts in TUI Musement helping them at the task of delivering value to the business. TUI Musement, or TUI MM for short, is the world's leading provider of destination experiences. With 9,000 diverse employees in 49 countries and head office locations including Palma de Mallorca, Milan, Luton and Hannover, we offer 14 million guests a portfolio of excursions, activities, tours, transfers and guest services. TUI MM is part of TUI Group, the world's leading tourism group.ABOUT THE JOB Delivering high-quality Data solutions for TUI MM in accordance with the agreed SLA ´s and within the budget.Create data tools for data scientist team members that assist them in building and optimizing our product into an innovative industry leader.Create and maintain optimal Machine Learning product pipeline architecture, regarding model and service lifecycle.Create and maintain standard APIs for model inference of the Machine Learning models created by the Data Scientists.Monitor and optimize Machine Learning Data products.Work in combination with Data Engineers in order to provide large, complex data sets to meet the Data Scientists projects requirements.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Follow and maintain operational and control procedures as a part of an agile team.Help in the design and modeling of the Data in an Enterprise Data Platform and provide effective solutions in a cloud environment.ABOUT YOU Proficiency with Python.Experience with any Python API framework (FastAPI, Flask, Django).Experience with data and ML pipelines.Experience building solutions using container and orchestration technologies.Experience working with CI/CD frameworks.Experience with servicing tools for model lifecycle is highly valuable.Experience with Airflow is highly valuable.Experience with relational SQL and NoSQL databases, including Snowflake is highly valuable.Experience building Python APIs for ML model inference is highly valuable.Experience with AWS cloud services is highly valuable.Familiarity with Machine Learning frameworks and libraries is highly valuable.Analytical, conceptual and implementation skills.Passion for learning without fear of failure in a passionate and agile team.Excellent communicator, both verbal and written, in English. Comfortable communicating high level concepts to senior stakeholders whilst also being able to delve into the detail of complex changes when required.ABOUT OUR OFFER Smart working (flexible hours, location and remote) for a better work-life balance. Flexible hours and flexible location up to 100% remote.Competitive salary and benefits as standard