<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> Senior Machine Learning Engineer (all genders) - at PDR.cloud GmbH<br/><br/><strong>Requirements<br/><br/></strong>Please note that this position requires <strong>work authorization for Germany</strong>.<br/><br/>Language: <strong>German - Fluent, English - Fluent<br/><br/></strong><strong><strong>Must-have<br/><br/></strong></strong><ul><li>Several years of experience as a Machine Learning Engineer, Data Engineer, or Applied Data Scientist with a clear engineering focus — you design pipelines yourself and solve data problems independently</li><li>Strong Python and SQL skills, plus confident use of a cloud platform (AWS, GCP, or Azure)</li><li>A solid statistical foundation beyond sklearn defaults: you know classical and probabilistic model families and understand when to apply which approach</li><li>Experience with production model deployment and MLOps fundamentals — you don't need a ready-made ML platform, but build new model pipelines from scratch together with our ops professionals at PDR.cloud</li><li>A pragmatic, hands-on mindset: you enjoy working in rapid prototyping mode, deliver MVPs instead of over-engineered architecture, and handle incomplete data and shifting requirements with confidence<br/><br/></li></ul><strong><strong>Nice-to-have<br/><br/></strong></strong><ul><li>Experience with event or sequence data (logs, tracking events, transaction data) and irregular timestamps</li><li>Knowledge of probabilistic modeling or process mining</li><li>Experience building data and ML infrastructure in a greenfield setup</li><li>Background in SaaS, automotive, or insurance environments</li><li>Experience in agile product teams and direct collaboration with pilot customers<br/><br/></li></ul><strong>Activities<br/><br/></strong><ul><li>PDR.cloud is a Berlin-based SaaS company enabling fully digital workshops for automotive repair shops — with modern IT architecture and smart solutions for complex damage processes</li><li>As a Senior Machine Learning Engineer at PDR.cloud, you will own the complete ML lifecycle: exploratory analysis, data modeling, feature engineering, model development, and production pipelines</li><li>You work hands-on across everything that comes with it — including data acquisition, schema design, data preparation, and the tools we use to evaluate our data</li><li>You collaborate closely with Product and Engineering using a rapid prototyping approach: validating hypotheses, iterating on models, extracting insights from data, and turning them into real product decisions</li><li>The role at PDR.cloud offers maximum creative freedom: you shape architecture, tooling, and data culture</li><li>Beyond the prototyping phase, exciting long-term challenges await: you will calibrate our models for a growing, heterogeneous customer base and continuously improve model quality<br/><br/></li></ul><strong>Team<br/><br/></strong>You will be part of a dedicated, interdisciplinary development team of experienced fullstack developers, UX designers, and product managers. At PDR.cloud, open communication, mutual support, and a constructive feedback culture are what matter — you will feel that from day one.<br/><br/>You will work primarily remote, but regularly join your team for workshops or team-building events in Berlin — for shared ideas and genuine connection beyond the screen. Flat hierarchies and short decision-making paths give you the freedom you need to work creatively, efficiently, and independently, while continuing to grow personally.<br/><br/><strong>About The Company<br/><br/></strong>PDR.cloud wurde 2018 in Berlin gegründet.<br/><br/>Wir bieten KFZ-Reparaturdienstleistern eine cloud-basierte Software zur Abrechnung und Steuerung von Schäden.<br/><br/>PDR.cloud vereint die bekannten Funktionen eines klassischen Dealer-Management-Systems mit smarten Lösungen und zeitgemäßer IT-Architektur.<br/><br/>Unsere Mission ist es für unsere Kunden eine vollständig digitale Werkstatt zu realisieren und den Arbeitsalltag unserer Anwender trotz immer komplexer werdenden Schaden-Prozessen zu vereinfachen.<br/><br/>Click on "Apply" for details on the benefits, the team and the application process.<br/><br/> </div>