ML Engineer – Real-Time Risk Data & Infrastructure

Monee; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

Monee is a leading digital payments and financial services provider in Southeast Asia, with a growing presence in Latin America. It delivers mobile wallets, payment processing, credit, banking, and insurtech, aiming to drive digital financial inclusion.

We are building data and ML infrastructure for Credit Risk systems. The Machine Learning Engineer will deploy ML models, maintain data pipelines, and collaborate with Data Scientists, Risk Policy, and Engineering teams to productionize models and

Qualifications

• Bachelor’s degree in CS, Software Engineering, Data Engineering, AI, ML or related field.
• Minimum 3 years of experience in Data Engineering, ML Engineering, ML Platform Engineering, or related role.
• Hands-on experience building data pipelines, ML systems, or production data infrastructure.
• Strong programming skills in Python and experience with Spark.

Responsibilities

• Support deployment of ML models into real-time and batch risk decision systems.
• Build and maintain infrastructure for model serving and production ML workflows.
• Develop and maintain large-scale data pipelines supporting model training, scoring, and inference.
• Collaborate with Data Scientists to ensure feature consistency between offline and online environments.
• Improve ETL/ELT workflows for large-scale risk data processing.
• Build and enhance monitoring systems for data quality, model performance, and pipeline health.
• Investigate pipeline failures and production issues across data and model systems.
• Improve observability, reliability, and scalability across data pipelines and services.
• Explore AI technologies to improve engineering workflows and developer productivity.
• Collaborate with Data Science, Risk Policy, Data Engineering, and Software Engineering teams.

Skills

Python

Spark

Airflow

Data pipelines

Distributed systems

Communication

Cross-functional collaboration

Education

Bachelor's degree in CS or related field

Tools

Spark

Flink

Airflow

Job description

Monee is a leading digital payments and financial services provider in Southeast Asia, with a growing presence in Latin America. It delivers mobile wallets, payment processing, credit, banking, and insurtech, aiming to drive digital financial inclusion.

We are building data and ML infrastructure for Credit Risk systems. The Machine Learning Engineer will deploy ML models, maintain data pipelines, and collaborate with Data Scientists, Risk Policy, and Engineering teams to productionize models and