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Senior Machine Learning Operations (MLOps) Engineer (m/f/d)

General information

Job Title
Senior Machine Learning Operations (MLOps) Engineer (m/f/d)
Ref #
Job Area
Information Technology
Job Type

Description & Requirements

PAYBACK is a top player in data-driven marketing worldwide. With the ability to develop digital business models and implement technical trends, we are one the leading companies in the data economy. All technical solutions of the PAYBACK program are developed invented and implemented in Germany. Therefore we provide the latest technologies and have cross-functional and agile teams.

You will be at the forefront of designing, implementing, and developing cutting-edge cloud solutions for the seamless deployment of machine learning models in production environments. Our team ensures a smooth integration of the work of Data Scientists, Machine Learning Engineers and Analysts into PAYBACK’s AI Platform. Together, we enable machine learning initiatives across our organization. 


  • Design, build and maintain a platform to enable your colleagues to develop and deploy machine learning models across their entire life-cycle: data processing, feature engineering, model development/training, deployment and monitoring 
  • Robust and scalable productization of AI based solutions by employing best practices and the state-of-the art design patterns on cloud and/or on-prem while ensuring quality by proper testing (unit, integration, performance and end-to-end testing) 
  • Design and implementation of complex computing environments based on-prem and cloud resources, using a modern DevOps / MLOps tech-stack (Kubernetes, Kubeflow, Terraform,...) 
  • Collaborate with cross-functional teams, including data scientists, architects, and site reliability engineers  
  • Stay up to date with the latest advancements in software engineering and machine learning, and actively apply modern techniques and design patterns to improve the existing tech stack 


  • Solid knowledge in programming with Python and min. 5 years of hands-on experience of using state-of-the-art ML tools and systems for containerization, orchestration, data processing and inference pipelines such as Kubernetes, Helm and Docker 
  • MLOps knowledge and hands-on experience is a plus  
  • Experience in deploying and monitoring machine learning models on hyper-scale cloud providers (ideally GCP) 
  • Understanding of data structures, algorithms, and software engineering principles 
  • Familiar with build automation concepts (Jenkins and/or CloudBuild) as well as Data Engineering concepts and SQL and NoSQL databases 
  • Understanding of various machine learning algorithms 
  • Proven ability to work effectively in a collaborative team environment with a passion for modern cloud-native software development, learning new technologies, and professional growth 
  • Good communication skills in English 


  • Grow like a Pro: Continue learning through individual professional development, grow with us to shape our future together
  • Tasty Breaks: Every visit to our ESSZIMMER tastes like like a short visit to Italy – also for vegetarians and vegans
  • Do it your way: In- house KINDERZIMMER, flexible working hours, 30 vacation days and up to 3 days working from home per week
  • Move it, move it: Our bonus program for your well-being - have fun in our 24/7 TURNHALLE and enjoy our goodies for your body and mind during our health weeks
  • Get Together: Meet and spend leisure time with colleagues – in our SPIELZIMMER at a Mystery Coffee, be part of our popular Social Days, ski events and seasonal highlights such as Christmas parties, summer parties and team events
  • Easy Going: Coming to the office is not only fun, but also affordable - we cover the costs of your "Deutschland-Ticket"