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описание
Eine Arbeitserlaubnis für Deutschland ist erforderlich.
PDR.cloud is a Berlin-based SaaS company that provides cloud-based software for automotive repair businesses to manage billing and claims. Its platform combines the functions of a traditional dealer management system with smart solutions and modern IT architecture, enabling fully digital workshops and simpler handling of complex damage processes.
задачи
Manage the full ML lifecycle, including exploratory analysis, data modeling, feature engineering, model development, and production pipelines;
Handle data acquisition, schema design, data preparation, and the tools used to analyze data;
Work with Product and Engineering on rapid prototyping by testing hypotheses, iterating models, deriving insights from data, and informing product decisions;
Shape architecture, tooling, and data culture;
Calibrate models for a growing, heterogeneous customer base and continuously improve model quality.
требования
Several years of experience as a Machine Learning Engineer, Data Engineer, or Applied Data Scientist with a clear engineering focus;
Ability to design pipelines and solve data problems independently;
Very strong Python and SQL skills;
Confident experience with a cloud platform such as AWS, GCP, or Azure;
Strong statistical foundation beyond sklearn defaults, including classical and probabilistic model families and when to use each approach;
Experience with production model deployment and MLOps fundamentals;
Pragmatic, hands-on mindset with experience in rapid prototyping, delivering MVPs, and working with incomplete data and changing requirements;
German at C1 level;
English at C1 level;
Nice to have: experience with event or sequence data and irregular timestamps, knowledge of probabilistic modeling or Process Mining, experience building data and ML infrastructure in a greenfield setup, background in SaaS, automotive, or insurance, experience in agile product teams and direct collaboration with pilot customers.