PAYBACK

Digital loyalty and data ecosystem

Machine Learning Engineer - MLOps & Platform Engineering

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeMunich, GermanyNo salary listed

About the Job

Requirements

Several years of experience developing and operationalizing data and artificial intelligence products.
Strong hands-on experience with Google Cloud Platform, particularly Vertex AI, Gemini Enterprise Agent Platform, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, and Google Kubernetes Engine.
Solid Python expertise and experience developing scalable, robust, and tested applications and Python packages.
Solid knowledge of MLOps, continuous integration and continuous delivery, and modern tools such as Terraform and dbt.
Understanding of the complete machine learning model lifecycle, with the ability to support it from experimentation and training through deployment, monitoring, and retraining.
A structured, analytical, and solution-oriented approach to work; fluent English communication. German language skills are a plus.

Responsibilities

Work as part of an interdisciplinary team to further develop the production machine learning platform based on Google Cloud Platform.
Design, develop, and implement robust and scalable platform components, including machine learning pipelines, monitoring solutions, and governance mechanisms across the model lifecycle.
Develop production-ready Python libraries and maintain a sustainable development environment using best practices, modern software architectures, and high quality standards.
Implement modern MLOps practices and continuous integration and continuous delivery pipelines, ensuring stable, secure, and scalable operation of artificial intelligence systems.
Take responsibility for the platform's quality, performance, scalability, and security, and continuously drive improvements.
Support machine learning models throughout their lifecycle, from conception and deployment to monitoring, maintenance, and further development.

Desired Qualifications

German language skills.

Team language: English, German

Contract type: Unlimited, full-time (40h/week), starting as soon as possible

About the role

As a Machine Learning Engineer - MLOps & Platform Engineering (m/f/d), you will develop and operate our central machine learning platform built on Google Cloud Platform. Together with Data Scientists, Engineers, and Business Stakeholders, you will create the technical foundation required to bring AI and machine learning solutions into production in an efficient, secure, and scalable way.

Your day-to-day work

You work as part of an interdisciplinary team on the further development of our production ML platform based on Google Cloud Platform (GCP)
You design, develop, and implement robust and scalable platform components, including machine learning pipelines, monitoring solutions, and governance mechanisms across the entire model lifecycle
You develop production-ready Python libraries and ensure a sustainable and maintainable development environment through best practices, modern software architectures, and high quality standards
You implement modern MLOps practices and CI/CD pipelines and ensure the stable, secure, and scalable operation of our AI systems
You be responsible for the quality, performance, scalability, and security of our platform and continuously drive improvements
You support machine learning models throughout their entire lifecycle, from initial conception and deployment to monitoring, maintenance, and further development

You’re a great fit for this role if …

You have several years of experience in developing and operationalizing data and AI products
You own strong hands-on experience with Google Cloud Platform, particularly Vertex AI, Gemini Enterprise Agent Platform, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, and GKE
You bring solid Python expertise and have experience developing scalable, robust, and tested applications as well as Python packages
You have solid knowledge of MLOps, CI/CD, and modern tools such as Terraform and dbt
You understand the complete machine learning model lifecycle and can confidently support it from experimentation and training through deployment, monitoring, and retraining
You have a structured, analytical, and solution-oriented way of working and communicate fluently in English; German language skills are a plus

Conditions & benefits

Flexibility: 30 vacation days plus the option to purchase additional leave, hybrid working (2 days home office/week), option for a sabbatical
Food & drinks: Mostly free, healthy, and varied meals, fresh fruit and popcorn daily, as well as coffee and tea
Health & fitness: Free access to our in-house gym, health weeks, on-site massages and physiotherapy treatments
Culture: Team events, social days, and an open “come as you are” culture, dogs welcome, commitment to female leadership
Development: Individual training and development opportunities within the team and across the organization
Mobility: Subsidized Germany ticket, central location with direct subway access, job bike leasing

Why PAYBACK?

PAYBACK is the leading loyalty program in Germany and one of the largest data-driven marketing platforms worldwide. Our solutions reach millions of people every day.

With more than 1,000 employees in Munich, we develop all technical solutions in-house and combine data, technology, and marketing to create measurable value. You can expect interdisciplinary teams, real ownership, and an open, innovation-driven culture.

Interested?

We look forward to receiving your application!

The PAYBACK GROUP values diversity – come as you are

About the Company

PAYBACK

Digital loyalty and data ecosystem

PAYBACK operates Europe’s leading loyalty and data ecosystem. It runs a digital platform where shoppers earn points for purchases with a network of partner brands, using a mobile app and loyalty card to track activity and deliver rewards. How it works: Customers link purchases to their PAYBACK account, accumulating points that can be redeemed for rewards or discounts. The system uses purchase data to personalize offers and recommendations while providing partners with insights about consumer behavior. How it stands out: PAYBACK combines loyalty services with a large-scale data-driven platform across many European markets, offering a broad partner network and customer-centric promotions that are tailored through data insights. Goal: To deepen shopper engagement and partner value by turning shopping activity into rewards and actionable consumer insights, creating a scalable loop that benefits both sides.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Gurugram, India
Founded: 2000

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