Machine Learning Engineer - MLOps & Platform Engineering (M/F/D)
Machine Learning Engineer - MLOps & Platform Engineering (M/F/D)
Machine Learning Engineer - MLOps & Platform Engineering (M/F/D)
Machine Learning Engineer - MLOps & Platform Engineering (M/F/D)
Loyalty Partner GmbH
Sonstige Dienstleistungen
München
- Art der Beschäftigung: Vollzeit
- 64.000 € – 85.000 € (von XING geschätzt)
- Hybrid
- Zu den Ersten gehören
Machine Learning Engineer - MLOps & Platform Engineering (M/F/D)
Über diesen Job
Machine Learning Engineer - MLOps & Platform Engineering (m/f/d)
General information
Contract type: Unlimited, full-time (40h/week), starting as soon as possible
About the role
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