Machine Learning Engineer (FinTech)

TL;DR

Machine Learning Engineer (FinTech): Designing and building machine learning pipelines for fraud detection and AML use cases with an accent on real-time signals and ethical AI. Focus on deploying models, collaborating with cross-functional teams, and ensuring model interpretability.

Location: Hybrid from Utrecht

Company

hirify.global is a fast-growing FinTech SaaS company focused on preventing payment fraud globally.

What you will do

• Design and build ML pipelines from data ingestion to deployment
• Rapidly prototype models for fraud and AML use cases
• Work closely with Data Scientists and Product to test hypotheses and validate results
• Train and deploy models using TensorFlow, PyTorch, Scikit-learn, and Spark
• Implement automation and CI/CD for ML using modern MLOps practices
• Contribute to building a scalable, secure, and responsible ML foundation

Requirements

• Proven hands-on experience designing, building, and deploying ML models
• Deep knowledge of ML frameworks like TensorFlow, PyTorch, Scikit-learn, Spark
• Strong cloud experience (AWS preferred)
• Familiarity with CI/CD for ML and containerized deployment
• Understanding of model interpretability and ethical AI principles