Build and deploy production ML models for merchant verification and onboarding.
Scalable data pipelines and feature stores powering real-time decisions.
Robust MLOps to monitor, retrain, and optimize model performance.
Integrated AI solutions that reduce manual work and speed onboarding.
Technical documentation and clean, modular code setting ML engineering standards.

🎯 Requirements

Production-ready ML: deploy and monitor models at scale.
Python expertise with PyTorch, TensorFlow, or scikit-learn.
Strong engineering fundamentals: SQL, cloud (GCP), and CI/CD.
Results-driven mindset focused on solving business problems.
Collaborative with Product and Risk teams to turn data into advantage.

🎁 Benefits

Growth is personal: develop skills and take new challenges.
Regular feedback and performance reviews to support your development.
Many Mollies move into new roles or projects.
Tools, trust and opportunities to grow your career.

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