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

Jackalope Digital LLC; Düsseldorf; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Family-friendly hours

Home office policy

Annual development budget

Team events

Mobility support

Fitness membership

Zusammenfassung

Auxmoney is seeking a skilled MLOps/ML Platform Engineer to own models from development to deployment in live pricing environments.

You will streamline Snowflake-based training workflows, build pricing-enabled services, and collaborate with Data Science and Data Infrastructure teams. Fluent English and strong CI/CD experience are required.

Qualifikationen

• Hands-on experience productionizing ML models and operating them in live systems.
• Strong Python production code and testing with scalable architecture.
• Experience with Snowflake-based training workflows and data platforms.
• Familiar with CI/CD pipelines and Docker for reliable deployments.

Aufgaben

• Own ML models from development to deployment in live environments.
• Operate ML models reliably in production and monitor performance.
• Support and implement training workflows in Snowflake-based environments.
• Build and evolve services around the Dynamic Pricing System on Snowflake.
• Bridge between Data Science, Data Infrastructure and stakeholders.

Kenntnisse

MLOps

Python engineering

End-to-end ML lifecycle

Snowflake data platform

System integration

Collaboration skills

Ownership mindset

CI/CD Docker

Pricing knowledge

Fluent English

Tools

Docker

scikit-learn

Snowflake

Jobbeschreibung

Your new team:

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.

What you can expect:

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


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


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


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


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


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


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

Your profile

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


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


• End-to-end ML lifecycle: You have experience across training, feature engineering, evaluation, monitoring, drift detection, training-serving skew, and model versioning.


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


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


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


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


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


• Nice to have: You bring pricing domain knowledge, for example dynamic pricing, price optimization, or pricing experimentation.


• Fluent English: You communicate confidently in English in a professional setting.

What we offer:

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


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


• Independent Work: 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.


• Grow with Us: 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: Team spirit is important to us - we regularly host events and parties where fun is guaranteed.


• Mobility Your Way: Whether you prefer a train ticket or parking - we support your choice of preferred mobility.


• Stay Active: 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.


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


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

Your perspective:

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.

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