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описание
This position requires work authorization for Germany
PDR.cloud is a Berlin-based SaaS company that provides cloud-based software for automotive repair service providers to manage billing and damage processes. It combines classic dealer-management system functions with smart solutions and modern IT architecture to support fully digital workshops and simplify increasingly complex repair workflows.
задачи
Own the complete ML lifecycle, including exploratory analysis, data modeling, feature engineering, model development, and production pipelines;
Handle data acquisition, schema design, data preparation, and data evaluation tools;
Collaborate with Product and Engineering to validate hypotheses, iterate on models, extract insights, and turn them into 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 independently and solve data problems autonomously;
Strong Python and SQL skills;
Confident use of AWS, GCP, or Azure;
Solid statistical foundation beyond sklearn defaults, including classical and probabilistic model families;
Experience with production model deployment and MLOps fundamentals;
Ability to build new model pipelines from scratch;
Pragmatic, hands-on mindset and confidence working with incomplete data and changing requirements;
Fluent German (C1);
Fluent English (C1);
Work authorization for Germany;
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 environments, experience in agile product teams and direct collaboration with pilot customers.