Machine Learning Engineer

GBG Plc

Machine Learning Engineer advancing machine learning capabilities for fraud detection in banking and fintech sectors. Collaborating with Software Engineering, Product and Data Scientist teams for real-world applications.

Posted 6/18/2026full-timeKuala Lumpur • 🇲🇾 MalaysiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact

Design, develop, and deploy machine learning models for fraud and AML detection, supporting both batch and real-time transaction scoring scenarios.
Build and maintain MLOps pipelines covering model training, validation, deployment, monitoring, and retraining workflows using modern tooling (e.g. MLflow, Tecton, or equivalent feature stores).
Collaborate with data engineers to design feature engineering pipelines and maintain the Predator feature dictionary and sync mechanisms.
Optimise model performance to meet strict latency and TPS targets required for real-time fraud decisioning.
Conduct model validation, A/B testing, permutation importance analysis, and champion/challenger evaluations to ensure model quality.
Work with the Architecture Review Committee (ARC) to align ML platform choices with the overall modernization architecture.
Stay current with advances in fraud detection ML — including graph-based models, anomaly detection, and generative AI applications — and propose relevant adoptions.
Mentor junior team members and contribute to knowledge sharing across squads.

Requirements

What you’ll need

3+ years building and deploying production ML systems in Python.
Working knowledge of cloud-native ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI) and containerisation (Docker, Kubernetes).
Hands-on experience with CI/CD for ML pipelines.
Experience with fraud detection and AML models.
Eligible to work in Malaysia.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account GBG Plc Website LinkedIn All Job Openings 1001 - 5000 employees Founded 1996 🔐 Security 💸 Finance 🎮 Gaming Security
Finance
Gaming GBG Plc is a global leader in identity verification and fraud prevention solutions. The company offers a range of services including fast and accurate identity data verification, biometric authentication, and fraud prevention to help businesses onboard customers securely and with confidence. GBG serves various industries, including financial services, retail, gaming, and insurance, providing powerful insights from millions of global customer interactions. With over 30 years of experience, GBG is trusted by thousands of businesses worldwide to deliver multi-layered protection and optimize customer onboarding processes. Their solutions aim to build trust, protect businesses from fraud, and ensure smooth and secure customer transactions. Machine Learning Engineer 🔥 17 minutes ago 🏢🏡 Kuala Lumpur – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer AWS Azure Cloud Docker Google Cloud Platform Kubernetes Python Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, develop, and deploy machine learning models for fraud and AML detection, supporting both batch and real-time transaction scoring scenarios.
Build and maintain MLOps pipelines covering model training, validation, deployment, monitoring, and retraining workflows using modern tooling (e.g. MLflow, Tecton, or equivalent feature stores).
Collaborate with data engineers to design feature engineering pipelines and maintain the Predator feature dictionary and sync mechanisms.
Optimise model performance to meet strict latency and TPS targets required for real-time fraud decisioning.
Conduct model validation, A/B testing, permutation importance analysis, and champion/challenger evaluations to ensure model quality.
Work with the Architecture Review Committee (ARC) to align ML platform choices with the overall modernization architecture.
Stay current with advances in fraud detection ML — including graph-based models, anomaly detection, and generative AI applications — and propose relevant adoptions.
Mentor junior team members and contribute to knowledge sharing across squads. 🎯 Requirements
3+ years building and deploying production ML systems in Python.
Working knowledge of cloud-native ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI) and containerisation (Docker, Kubernetes).
Hands-on experience with CI/CD for ML pipelines.
Experience with fraud detection and AML models.
Eligible to work in Malaysia. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs AI/ML Engineer 🕒 May 25 K3 Advisory Group 1001 - 5000 🤝 B2B 💸 Finance 🎯 Recruiter Website LinkedIn All Job Openings AI/ML Engineer at K3 Advisory Group design, build, and operate AI capabilities for data interrogation. Collaborate with cross-functional teams ensuring data security and auditability in financial services context. 🏢🏡 Kuala Lumpur – Hybrid 💵 RM149k - RM165k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer Pandas Python SQL View More Machine Learning Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

machine learningMLOpsmodel trainingmodel validationA/B testingPythonfraud detectionAML modelsCI/CDfeature engineering

Soft Skills

collaborationmentoringknowledge sharing