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  • Berlin

  • THE ROLE

    We are looking for a Senior Machine Learning Engineer to design, own, and scale predictive systems that power VIS.X - our programmatic advertising platform.
    You will take end-to-end responsibility for high-impact ML initiatives (e.g., pricing optimization, bid prediction, performance forecasting, delivery optimization) and translate complex business problems into robust, production-grade machine learning systems.
    This is a senior individual contributor role with leadership potential. You will help shape our ML architecture, standards, and long-term AI strategy, with the opportunity to grow into a team lead role as we expand our data science capabilities.

    What You’ll Do

    • Take ownership of machine learning problems from concept to production
    • Design, build, and deploy predictive models (e.g. pricing, bidding, optimization, forecasting)
    • Develop scalable feature engineering and data pipelines for large-scale datasets
    • Define experimentation frameworks (A/B testing, offline validation, model comparison)
    • Ensure production-grade MLOps: monitoring, retraining, drift detection, reliability
    • Collaborate closely with DevOps, Product, Engineering teams to align ML with business impact
    • Quantify model impact on revenue, margin, and performance KPIs
    • Contribute to building our long-term ML architecture and best practices

    YOUR PROFILE

    • 5+ years of experience in machine learning / applied ML roles with production ownership
    • Proven track record of deploying and maintaining ML systems in real-world environments
    • Strong Python skills (e.g., pandas, scikit-learn, PyTorch/TensorFlow)
    • Solid knowledge of statistics, experimentation design, and model evaluation
    • Experience working with large-scale datasets and performance-critical systems
    • Understanding of MLOps principles (model lifecycle, monitoring, CI/CD integration, retraining pipelines)
    • Strong problem ownership mindset - ability to independently structure ambiguous challenges
    • Ability to translate business trade-offs into modeling decisions
    • Experience in AdTech, marketplaces, or auction-based systems is a plus
    • Experience working in high-scale, real-time systems is a plus

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