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Software Engineer (ML/AI) Job Opening In Singapore, Singapore – Now Hiring SHIELD


Job description

SHIELD is a device-first fraud intelligence platform that helps digital businesses worldwide eliminate fake accounts and stop all fraudulent activity.


Powered by SHIELD AI, we identify the root of fraud with the global standard for device identification (SHIELD Device ID) and actionable fraud intelligence, empowering businesses to stay ahead of new and unknown fraud threats.


We are trusted by global unicorns like inDrive, Alibaba, Swiggy, Meesho, TrueMoney, and more.

With offices in LA, London, Jakarta, Bengaluru, Beijing, and Singapore, we are rapidly achieving our mission - eliminating unfairness to enable trust for the world.


Responsibilities
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.


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.


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Required Skill Profession

Other General


  • Job Details

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Unlock Your Software Engineer Potential: Insight & Career Growth Guide


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Are You Looking for Software Engineer (ML/AI) Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at SHIELD adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Software Engineer (ML/AI) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Software Engineer (ML/AI)?

Key qualifications for Software Engineer (ML/AI) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Software Engineer (ML/AI) Job Success

SHIELD interview tips for Software Engineer (ML/AI)

Here are some tips to help you prepare for and ace your Software Engineer (ML/AI) job interview:

Before the Interview:

Research: Learn about the SHIELD's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Software Engineer (ML/AI) interview at SHIELD, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the SHIELD's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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