(Senior) Machine Learning Engineer-Fintech(f/m/d)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We are looking for a (Senior) Machine Learning Engineer (f/m/d) to join our FinTech team and build worldwide innovative Anti-Fraud solutions with us.

If you're a creative problem solver who is eager to deliver solutions and hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

Your mission:

• Building a solid engineering foundation within the Data Science team.
• Develop infrastructure for live and batch pipelines of fraud detection models as a part of a global product for fraud prevention
• Deploy and scale up data science algorithms to provide business value in dozens of countries globally supporting hundreds of millions of payment transactions
• Creating and maintaining highly performant and scalable services to be used by millions of customers every day.
• Developing tools to enable Data Science teams and enhance their productivity throughout the organization.

Your heroic skills:

• Deep understanding of Python and its ecosystem, especially oriented to data science and Machine Learning.
• You know how to work with Big Data platforms such as Spark and know how to write a SQL query to pull the data you need
• You know how to make your code run in a container and are enthusiastic about running it in modern infrastructure environments like Kubernetes.
• Good testing practices with TDD or similar and knowledge on how to set up automated testing environments.
• Experience with Continuous Integration / Continuous Delivery
• Being able to configure, run, tune and troubleshoot services on AWS.
• Having passion about good code quality and maintainability.
• Fluency in English.

Nice to have:

• Experience with Kotlin and Go programming language
• Experience with building data pipelines and orchestrating them with Apache Airflow
• Experience with Apache Kafka.

Why Delivery Hero

• Exchange ideas and meet fellow developers in our active guilds and through our global tech & product community
• We offer visa & relocation support globally to our permanent employees
• Enjoy our free online yoga classes and a subsidized Urban Sports Club or Gympass membership
• Take care of your mental and emotional well-being with our free Headspace subscription and unlimited access to our Employee Assistance Program
• Participate in our health campaigns such as seasonal flu vaccines
• Benefit from BVG subsidy or join our Bike rental program
• Join the global market leader and a publicly listed company with a competitive remuneration package
• Develop your skills with your personal educational budget for conferences and external trainings
• Access our e-learning platform MyAcademy, participate in our various inhouse trainings, and learn German in our free classes
• Save responsibly with our attractive corporate pension options
• Join company parties, team, cultural and sports events - due to the current situation on a virtual basis