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Auxmoney is seeking a Senior Machine Learning Engineer to join the Pricing team, working at the intersection of ML engineering and pricing systems. You will own machine learning models end-to-end—from development and integration through deployment and monitoring in production environments—building and operating systems that power the Dynamic Pricing platform.
Key responsibilities include:
- Taking end-to-end ownership of ML models in live production environments, ensuring reliability and maintainability
- Operationalizing machine learning models to address common pitfalls when transitioning from experimentation to production
- Supporting and implementing training workflows in Snowflake-based environments, ensuring smooth integration across the ML lifecycle
- Building and developing applications and services around the Dynamic Pricing System on Snowflake, enabling ML-driven pricing logic
- Maintaining systems thinking across complex landscapes, understanding dependencies and integrating ML components robustly
- Translating business and analytical requirements into technical solutions, acting as a bridge between stakeholders, Data Science, and Data Infrastructure teams
Required qualifications:
- Strong hands-on MLOps experience productionizing and operating ML models reliably in production systems
- Production-oriented Python engineering with solid software architecture and testing knowledge, including scikit-learn pipelines
- Experience across the full ML lifecycle: training, feature engineering, evaluation, monitoring, drift detection, training-serving skew, and model versioning
- Working experience with Snowflake or comparable data platforms in data-intensive and ML-related use cases
- Ability to navigate complex system landscapes and integrate ML components thoughtfully
- Clear communication with technical and non-technical stakeholders
- Structured, self-driven, reliable work style with strong ownership mindset
- Familiarity with CI/CD pipelines and Docker
- Fluent English for professional communication
Nice-to-have: pricing domain knowledge (dynamic pricing, price optimization, pricing experimentation).
The role offers flexibility with remote work within Germany or hybrid arrangements at Düsseldorf or Berlin offices. Auxmoney provides family-friendly hours, generous home office policy, ergonomic workstations, autonomous work environment, professional development budget, team events, mobility support, fitness benefits, and pension plan subsidies.
