Machine Learning Engineer (f/m/d)
Awin•Berlin, Berlin; München, Bavaria
Full-timeMid Level
👁️ 5 views•📝 0 applications•Posted 8/10/2026•Expires 9/9/2026
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Job Description
Purpose of position Data sits at the heart of the company. This role ensures that Awin can fully leverage the data available across the group, enabling the development of robust reporting capabilities that support stronger commercial decision making and elevate campaign management for client facing teams. As a Machine Learning Engineer , you will be responsible for researching, designing, building, and automating predictive models, as well as establishing metrics to monitor model performance and accuracy. You bring strong communication and analytical skills, work effectively both independently and within a team, and contribute proactively to improving engineering standards and working practices. You possess a deep understanding of data and business requirements and can translate these into clear technical specifications. You write clean, maintainable, and high quality code, and you are capable of implementing a wide range of data extraction, transformation, and storage methodologies. Your expertise enables you to develop new predictive models while also enhancing and optimizing existing ones. In this role, you will break down complex requirements into structured, actionable tasks. As part of the Data Services department, you will collaborate with a global team of data engineers, data analysts, and other big data specialists across the organisation. Key Tasks & responsibilities Write clean, elegant and maintainable code with Data engineering and AI/ML best practices Understanding business objectives and developing models that help to achieve them, along with the creation and monitoring of business relevant metrics Find new ways solve complex business problems with self improving automated predictive models. Evaluate existing models and recommend improvements for better result and performance efficiency</li
Required Skills
ProductResearch & Development
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