Senior Machine Learning Engineer (all genders) -

• 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
• 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
• 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
• 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
• The role at PDR.cloud offers maximum creative freedom: you shape architecture, tooling, and data culture
• 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, 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.

Must-have

• 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
• Strong Python and SQL skills, plus confident use of a cloud platform (AWS, GCP, or Azure)
• A solid statistical foundation beyond sklearn defaults: you know classical and probabilistic model families and understand when to apply which approach
• 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
• 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

Nice-to-have

• Experience with event or sequence data (logs, tracking events, transaction 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