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Machine Learning Engineer - MLOps & Platform Engineering (m/f/d)

PAYBACK GmbH·Salary not specified

Primary stack

Vertex AIBigQueryCloud RunCloud FunctionsGKEPythonCI/CDTerraformdbtGoogle Cloud Storage

Job description

About the Position

Machine Learning Engineer - MLOps & Platform Engineering (m/f/d)

Location: Munich, Germany

Company: PAYBACK GmbH

Job Area: Data Engineering

Job Type: Professional


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.


Responsibilities

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

Requirements

  • Several years of experience in developing and operationalizing data and AI products
  • Strong hands-on experience with Google Cloud Platform, particularly Vertex AI, Gemini Enterprise Agent Platform, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, and GKE
  • Solid Python expertise and experience developing scalable, robust, and tested applications as well as Python packages
  • Solid knowledge of MLOps, CI/CD, and modern tools such as Terraform and dbt
  • Understanding of the complete machine learning model lifecycle and the ability to support it from experimentation and training through deployment, monitoring, and retraining
  • Structured, analytical, and solution-oriented way of working
  • Fluent communication skills in English; German language skills are a plus

We Offer

  • 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

About the Company

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

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