💪 Your Mission

As a Machine Learning Engineer on the Fraud Prevention team you will:

• Join in the early stage design of a platform for real time decision making including fraud evaluation.
• Build high quality solutions using technologies such as Go, Python, Kafka, Docker, and Kubernetes.
• Work with dedicated Product Managers to deliver scalable platforms and services to build and execute advanced predictive models.
• Help build a culture of quality and delivery.
• Work with best in class tools for observability, monitoring, and analysis.

Requirements

📖 Your Story

1. 2+ years of professional software development experience with machine learning systems.
2. Ability to solve problems in code using data structures and algorithms and be able to analyze the time and space complexity of those solutions.
3. Understanding of software system design including object-oriented, functional, and distributed design principles.
4. Able to work autonomously with little supervision.

Additional information

🏆 The Perks

• We trust you, so we offer flexible working hours, as long it suits both you and your team;
• Health Insurance;
• Meal Allowance;
• 25 days of Annual leave (+ Bank holidays);
• Public Transportation Card;
• Frequent team events & activities in the office and outside;
• Office snacks every day;
• Friendly, comfortable and informal office environment.