Team Lead Machine Learning Engineering (M/F/D)

Team Lead Machine Learning Engineering (m/f/d)

Most people are familiar with the term PAYBACK. We\’d love to introduce ourselves to you in a bit more detail. You probably know PAYBACK—either from the question at the checkout or through our widely used shopping app. And of course, we hope you answer with “Yes” at the checkout, because with us, you collect more than just °Points. Whether you\’re a customer, partner, or colleague: with PAYBACK, every action becomes a rewarding experience.

PAYBACK is the leading loyalty program in Germany and one of the largest and most effective marketing platforms in the world. As a pioneer of the data economy, we develop all technical solutions ourselves right here in Munich. Development is something you can do with us, too—both for yourself and together with us for the PAYBACK program.

YOUR TASKS

• Lead the technical and disciplinary management of our Machine Learning Engineering team.
• Implement Machine Learning models on the Google Cloud Platform (GCP).
• Work hands-on in a cross-functional team to develop and deploy innovative data and AI products, utilizing classical machine learning methods and generative AI (GenAI).
• Collaborate with your team to ensure smooth operation of AI systems, proactively addressing issues related to quality, scalability, performance, and security.
• Develop best practices, optimize existing applications, and stay updated with the latest technology trends.
• Support the personal and professional development of eight team members.
• Work closely with Data Scientists, Product and Business Stakeholders, and Tech Teams throughout the entire lifecycle of ML/GenAI models, from conception to deployment, monitoring, and optimization.

YOUR PROFILE

• Several years of professional experience in developing and operationalizing data and AI products, with practical knowledge in GenAI preferred.
• Strong knowledge of Python, Java, and SQL for data analysis, data engineering, and ML model development.
• Practical experience in MLOps and CI/CD practices.
• Hands-on experience with GCP services (such as BigQuery, Vertex AI, Cloud Storage, Cloud Run) and Terraform.
• Deep understanding of managing ML models across their lifecycle, using modern MLOps practices.
• Proven leadership and mentoring experience, with the ability to motivate and promote collaboration.
• Strong analytical skills, a structured working approach, and a proactive problem-solving attitude.
• Excellent communication skills in English and ideally German.

OUR OFFER

• Grow like a Pro: Continue learning through individual professional development and help shape our future.
• Tasty Breaks: Enjoy Italian-style meals in our ESSZIMMER, catering to vegetarians and vegans.
• Do it your way: Flexible working hours, in-house KINDERZIMMER, 30 vacation days, and up to 2 days remote work per week.
• Move it, move it: Participate in our bonus program for well-being, enjoy our 24/7 TURNHALLE, and benefit from health weeks.
• Get Together: Socialize with colleagues in our SPIELZIMMER, at Coffee Dates, Social Days, ski events, and seasonal parties.
• Easy Going: We cover costs for your

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