Machine Learning Engineer

Location: Hybrid, with two days per week in the office

Salary: €52,000–€65,000 annually, plus equity and benefits

Company

hirify.global builds AI-powered financial crime risk intelligence and compliance software for businesses worldwide.

What you will do

• Build, train, productionize, and scale machine learning models for financial crime risk intelligence.
• Develop monitoring capabilities for model performance and feature drift.
• Integrate machine learning models into data pipelines, including feature engineering, APIs, and event streams.
• Collaborate with software engineers, data scientists, ML engineers, and product managers to design intelligent services.
• Write maintainable, performant, well-tested Python code for scalable and transparent systems.
• Apply public models, prompt engineering, and RAG where appropriate to accelerate delivery.

Requirements

• Experience maintaining and scaling machine learning applications in production.
• Experience building scalable backend applications, preferably with Python.
• Experience working in multidisciplinary teams with Data Scientists, ML Engineers, and Product Managers.
• Hands-on experience with AWS, Azure, or GCP, or with containerized infrastructure such as Kubernetes, Docker, ArgoCD, or Argo Workflows.
• Strong communication skills and a collaborative approach, including participation in system design discussions and mentoring junior engineers.

Nice to have

• Experience with PySpark or other distributed data processing frameworks.
• Experience building data-intensive applications or distributed systems using MapReduce-style architectures.
• Familiarity with event-driven or microservice architectures.

Culture & Benefits

• Hybrid work with two required office days per week.
• Equity participation and private medical insurance.
• Unlimited time off and a home-office equipment budget for new starters.
• Annual learning budget and opportunities to work on innovative projects.