Senior Machine Learning Engineer

Location: Hybrid working setup in Utrecht, Netherlands

Company

hirify.global is a fast-growing FinTech SaaS company building account verification and fraud prevention products for banks and organizations.

What you will do

• Partner with Data Scientists to discover Fraud Risk Intelligence product opportunities and connect technical solutions with client and business requirements.
• Package and deploy machine learning models to production in clean, safe, modular, and reproducible ways.
• Design high-performance microservice APIs with sub-millisecond latency for ML model integration.
• Shape the internal data platform through real-time streaming, aggregation points, and online feature store management.
• Architect, deploy, and maintain AWS MLOps infrastructure using Infrastructure as Code and CI/CD.
• Implement monitoring, drift detection, continuous training loops, and model emulation environments for high-load transactional systems.

Requirements

• 8+ years of relevant software engineering and MLOps experience, including bringing ML models to production at scale.
• Deep hands-on experience with AWS SageMaker, Terraform or CloudFormation, and CI/CD pipelines for ML models.
• Expert-level Python skills and experience building scalable microservices and sub-millisecond latency APIs.
• Experience designing real-time or streaming data pipelines and online feature stores.
• Practical experience packaging and deploying models with PyTorch, TensorFlow, Scikit-learn, or Apache Spark.
• Strong ownership of end-to-end system resilience and excellent communication across Data Science, Data Engineering, and Product.

Nice to have

• Experience in fraud, AML, or transactional risk scoring systems.
• Familiarity with NICE Actimize, RiskShield, FCRM, or Pega.
• Ability to prototype and iterate quickly in evolving, RFP-driven product environments.

Culture & Benefits

• 8% personal benefits budget that can be used for training, additional time off, or salary.
• 25 holidays, pension plan, and covered travel costs with an NS Business Card.
• MacBook Pro, iPhone, and other required technology.
• Culture focused on ownership, innovation, autonomy, teamwork, and responsible decision-making.
• Friday drinks, offsites, and quarterly company meetups in a diverse international organization.