Software Engineer (ML/AI)

SHIELD AI TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

SHIELD AI TECHNOLOGIES PTE. LTD. in Singapore seeks a Software Engineer (ML/AI) to build and enhance proactive fraud-detection systems across our clients’ platforms.

You will work with data, AI, and engineering to protect ecosystems, experiment with ML methods, and collaborate with engineers and analysts to achieve shared project goals.

Responsibilities include researching new methods, writing clear documentation, and ensuring system reliability through testing and performance optimization.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• Proficiency in Python or Go.
• Experience with relational databases (MySQL, PostgreSQL).
• Familiarity with Git and version control.

Responsibilities

• Develop and maintain proactive systems leveraging ML/AI.
• Enhance AI-based and alert-based systems.
• Research and prototype new methods for proactive fraud detection.
• Explore data signals to improve fraud identification accuracy.
• Conduct testing to ensure system reliability and performance.
• Write documentation for systems, workflows, and findings.
• Collaborate with engineers and analysts to achieve goals.

Skills

Python

Go (Golang)

Machine Learning

SQL

Education

Bachelor’s degree in Computer Science

Tools

MySQL

PostgreSQL

Git

Job description

As a Software Engineer (ML/AI), You will work closely with the team to build and enhance systems that support proactive identification of fraudulent behavior across our clientele’s platforms. This is an opportunity to be part of a high-impact team that combines data, AI, and engineering to protect ecosystems.

Responsibilities

• Develop and maintain proactive systems particularly those 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 and integrate new data signals that can improve fraud identification accuracy.
• Conduct comprehensive testing to ensure system reliability and performance.
• Write clear documentation for developed systems, workflows, and research findings.
• Collaborate closely with other engineers and analysts to achieve shared project goals.

• 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).

It will be good to have:

• Experience working with caching systems (e.g., Redis, Memcached).
• Familiarity with Large Language Model (LLM) APIs or AI frameworks.
• Prior experience in the fraud detection or risk domain.