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Machine Learning Engineer (m/f/d)

General information

Job Title
Machine Learning 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 want to take responsibility and collaborate your ideas to our unique product? You are ambitious and eager to and move things further? Then you are exactly right with PAYBACK. We are looking forward to you getting to know you.


  • Robust and scalable software development by employing best practices and the state-of-the art design patterns on cloud and/or on-prem 
  • Ensuring quality code by proper testing (unit, integration, performance, and end-to-end testing), monitoring, and documenting within the team’s agile way of working
  • Collaborate with cross-functional teams, including data scientists, architects, and site reliability engineers to translate the business needs into data-intensive highly scalable machine intelligent solutions
  • Solve complex real-time marketing challenges to reach millions of customers regularly by designing and implementing pipelines for data preprocessing, feature engineering, and machine learning model training. Realtime campaigns include Location-based campaigns, raffles, and real-time (event driven) coupon assignments
  • 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
  • Maintaining and operation of the current software products with the mind-set what you build as a team, you also run as team 


Qualifications (Minimum Requirements)

  • Proficiency in programming with Java (incl. spring boot) 
  • Solid knowledge of data structures, algorithms, and software engineering principles
  • Experience with modern real-time data streaming technologies (such as Kafka or GCP Pub/Sub)
  • Understanding of SQL and noSQL databases
  • Familiar with 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

Preferred Qualifications

  • Programming experience using Scala and/or Python is a big bonus
  • Experience of deploying machine learning models on any of hyper-scale cloud providers
  • Understanding of optimization algorithms and statistical modeling techniques
  • Familiarity with concepts and usage of containerization (Kubernetes, Docker)
  • Familiarity with cloud computing platforms and distributed systems for training and deploying machine learning models (for example: TensorFlow or PyTorch)
  • Experience in test automation and management

Current Technologies In-Use

  • Architecture & Frameworks: GCP, Spring Boot, Spark, Kafka, Cassandra, ELK, Oracle 
  • Languages: Java, Scala and Python 
  • Build & Deployment: Gradle, Jenkins, Ansible, Kubernetes/OpenShift, Docker, Helm, Kubeflow 
  • Quality Assurance: Test automation & management, Spock, scalatest, Gatling 


  • 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"