Staff Machine Learning Engineer - Risk (Fintech)

Location: Singapore office, 5 days per week

Company

hirify.global is building an AI-powered infrastructure layer for global commerce across payments, stablecoins, compliance, risk, fraud, reconciliation, and customer support.

What you will do

• Design and build Databricks-based ML infrastructure for payment-risk detection.
• Develop feature pipelines, versioning, job orchestration, monitoring, and automated workflows.
• Productionize models through training pipelines, retraining schedules, deployment, and continuous improvement.
• Own the operational health of production models, including low-latency inference, monitoring, and incident response.
• Set ML architecture and technical standards while providing technical direction for the risk team.
• Collaborate with Risk, Software Engineering, and Data Engineering teams.

Requirements

• 8+ years of experience in ML engineering with production ownership.
• Experience building risk- or fraud-related ML systems, preferably in payments or fintech.
• Experience with real-time payment-risk systems, low-latency model inference, monitoring, and incident response.
• Ability to provide senior technical leadership, set direction, and collaborate across engineering and data engineering.
• Comfort working in fast-moving environments without an established playbook.
• Strong builder mentality and interest in applying AI and automation.

Nice to have

• Familiarity with chargebacks, dispute networks, and tokenization-related risk signals.
• Experience establishing ML platform standards and operating models.
• Experience at an early-stage or high-growth startup.

Culture & Benefits

• In-person collaboration with direct access to decision-makers and significant ownership.
• Annual health stipend and corporate insurance.
• 21 days of paid time off plus applicable public holidays.
• Meaningful equity participation.
• MacBook Air, workspace and education allowance, and monthly wellness reimbursement.
• Annual global team offsite.