full stack machine learning engineer

The Perseuss AI team creates software solutions that help detect and prevent transactional fraud. You'll be investigating how to improve the performance of the current solution by learning new models, validating them and feature engineering. You will also be checking the work of your colleagues and deploying new software.

What are we looking for?

An enthusiastic AI software engineer that likes to work with the latest Azure & Microsoft tooling to create smart and easy to use software solutions. A team-player who has at least 4 years of working experience. Perseuss is a start-up, so you need to be able to work independently and we highly value initiative.

Required skills:

  • Python
  • Flask / SQLAlchemy
  • Numpy / Pandas / Scikit-learn / XGBoost
  • Experience with SQL databases
  • Experience with ElasticSearch
  • Kubernetes / Docker

Bonus points:

  • Academic background in computer science
  • Experience with Azure DevOps (for builds, deployment & scrum)
  • Experience in optimizing the code performance

About Perseuss

Perseuss is a fin-tech company providing a platform to identify the fraudulent use of credit cards in online transactions, by checking these against confirmed fraud intelligence shared by users. More and more merchants are realising that the only way to fight fraud, is by cooperation. The variety and quantity of our data (over 20 million transactions are being checked on a monthly base) enables our system to identify patterns and clusters in the data that otherwise would've gone unnoticed.

What are we offering?

  • A place in a young and eager team
  • A lot of freedom and responsibilities to solve problems
  • Coaching and trainings to enhance your skills
  • Friday afternoon drinks and overall great vibes (provided you can deal with teasing and jokes)


You can apply by mailing your CV to steven@perseuss.com.