Senior ML Engineer (Fintech)

Location: Work from anywhere; fully remote with no relocation required. Offices are available in Poland, Cyprus, and Ukraine.

Company

hirify.global is building a global payments orchestration platform for internet businesses, operating across 150+ markets with Visa and Mastercard partnerships.

What you will do

• Design and build core ML models and pipelines for a greenfield ML/AI direction.
• Build a real-time ML decisioning system for payment routing with direct revenue impact.
• Run hands-on experimentation from initial ideas through A/B testing and production deployment.
• Integrate advanced AI technologies and develop orchestrated training and analytics pipelines.
• Collaborate with Product, Engineering, and Data Platform teams on complex modelling and MLOps challenges.
• Communicate technical results clearly to engineering and cross-functional stakeholders.

Requirements

• 4–5+ years of experience in machine learning or data science.
• Production experience with classical predictive models such as credit scoring, fraud, risk, recommendations, or pricing.
• Track record of shipping ML models end to end and demonstrating business impact through metrics such as conversion, approval rate, losses, or revenue.
• Strong data science fundamentals, A/B testing experience, and experimentation design skills.
• Experience with feature engineering on high-cardinality transactional data.
• Ability to define and own greenfield ML initiatives, with strong communication skills and stakeholder comfort.

Nice to have

• Experience in fintech, payments, fraud, or risk.
• Experience with real-time or low-latency ML serving.
• Master’s degree or PhD in a quantitative discipline.

Culture & Benefits

• Foundational role shaping the ML function, team, and engineering standards from day one.
• Work with payment infrastructure processing 20M+ orders and 100M+ transactions monthly, across 100+ payment methods and providers.
• 30+ days off and unlimited sick leave.
• Health coverage, free office meals, and Apple equipment.
• Courses, conferences, sports, and wellness benefits.