ML/AI Software Engineer - Fraud Detection

SHIELD; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading fraud intelligence platform in Singapore is looking for a Software Engineer (ML/AI) to build and enhance systems for proactive fraud detection. The ideal candidate should have a Bachelor's degree in Computer Science, proficiency in Python or Go, and experience with relational databases. Responsibilities include developing AI-driven systems, researching new detection methods, and collaborating with a high-impact team. This role offers the chance to work at the forefront of fraud intelligence, contributing to significant projects.

Qualifications

• Bachelor’s Degree in Computer Science or a related field (or equivalent practical experience).
• Proficiency in at least one of the following languages: Python or Go (Golang).
• Experience working with Relational Databases (e.g., MySQL, PostgreSQL).
• Familiarity with version control systems (e.g., Git).

Responsibilities

• Develop and maintain proactive systems leveraging Machine Learning and AI.
• Enhance and maintain existing AI-based and alert-based systems.
• Research and prototype new methods for proactive fraud detection.
• Explore new data signals that can improve fraud identification accuracy.
• Conduct comprehensive testing to ensure system reliability and performance.
• Write clear documentation for developed systems and workflows.
• Collaborate with other engineers and analysts to achieve shared project goals.

Skills

Python

Go (Golang)

Relational Databases

Version control systems (e.g., Git)

Caching systems (e.g., Redis, Memcached)

Large Language Model (LLM) APIs

Education

Bachelor’s Degree in Computer Science or related field

Job description

A leading fraud intelligence platform in Singapore is looking for a Software Engineer (ML/AI) to build and enhance systems for proactive fraud detection. The ideal candidate should have a Bachelor's degree in Computer Science, proficiency in Python or Go, and experience with relational databases. Responsibilities include developing AI-driven systems, researching new detection methods, and collaborating with a high-impact team. This role offers the chance to work at the forefront of fraud intelligence, contributing to significant projects.