(Senior) Machine Learning Engineer – Pricing (m/f/d)

Do you want to go beyond experimentation and bring machine learning reliably into production, where it creates real business impact? Then our Pricing team is the right place for you. You will work at the intersection of machine learning engineering and pricing, building and operating the systems that power our Dynamic Pricing platform. You will collaborate closely with Data Science, Data Infrastructure, and business stakeholders, and help shape the technical foundation of our pricing capabilities.

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You take end-to-end ownership of ML models from development and integration to deployment and monitoring in live environments. •

You operationalize machine learning models in a stable and maintainable way, and you proactively address common pitfalls when moving from experimentation to production. •

You support and implement training workflows in Snowflake-based environments so model development and data platform components work smoothly across the ML lifecycle. •

You build and further develop applications and services around our Dynamic Pricing System on Snowflake, enabling ML-driven logic in pricing workflows. •

You keep an overview of complex system landscapes, understand dependencies and interfaces, and integrate ML components robustly into existing ecosystems. •

You translate business and analytical requirements into technical solutions and act as a bridge between stakeholders, Data Science, and Data Infrastructure. •

You work remotely within Germany or hybrid at our offices in Düsseldorf or Berlin, depending on your preference and team alignment.

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You have strong hands-on experience productionizing machine learning models and operating them reliably in productive systems. •

You write stable, production-oriented Python code and are confident with software architecture and testing, including scikit-learn pipelines. •

You have experience across training, feature engineering, evaluation, monitoring, drift detection, training-serving skew, and model versioning. •

You have worked with Snowflake or comparable platforms in data-intensive and ML-related use cases. •

You can navigate complex landscapes across applications, services, data flows, and infrastructure, and you integrate ML components thoughtfully. •

You communicate clearly with technical and non-technical stakeholders and work effectively across teams and domains. •

You work in a structured, self-driven, and reliable way, and you take ownership from start to finish. •

You are familiar with CI/CD pipelines and Docker. •

You bring pricing domain knowledge, for example dynamic pricing, price optimization, or pricing experimentation. •

You communicate confidently in English in a professional setting.

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Enjoy family-friendly working hours and a generous home office policy, allowing you to stay agile and flexible in any situation. •

For your office days, we provide ergonomic workstations that offer you a comfortable and healthy workspace. •

With short decision-making paths, we enable you to work autonomously and actively contribute your ideas – we provide space for you to take on responsibility. •

Unlock your potential with numerous opportunities for growth and development, along with an annual development budget to help you achieve your professional and personal goals. •

Team spirit is important to us – we regularly host events and parties where fun is guaranteed. •

Whether you prefer a train ticket or parking – we support your choice of preferred mobility. •

Keep fit with a discounted membership at Fitness First or Urban Sports Club, or use our in-house fitness room to stay active after work and enhance your work-life balance. •

Think about your future – we offer subsidies for company pension plans so you can plan long-term with us. •

We consider your personal life situation – whether you're a parent or love to travel, we offer customized benefits to suit your lifestyle.

:  You will turn ML models into dependable, observable production services that directly influence how pricing decisions are made at scale. You will shape the technical backbone of our Dynamic Pricing platform across Snowflake, training workflows, and integration patterns. Your work will create measurable impact by making ML-driven pricing safer to run, easier to evolve, and ready for everyday use. At auxmoney, we’re committed to equal opportunity and diversity. We especially welcome applications from parents, people with disabilities, and members of the LGBTQIA+ community. Please feel free to let us know if you’d like us to use gender-neutral pronouns, if you need barrier-free access to our office, or if you require more time during the application process. Find Jobs in Germany on Arbeitnow