Machine Learning Engineer
- ML Systems Engineering: Design, develop, maintain, and optimize machine learning systems, including batch, real-time, and streaming inference patterns.
6 days
Machine Learning Jobs in Kuala Lumpur - October 2026 - Urgent Hiring - Page 5
Showing 229 jobs results for
"machine learning"
in Kuala Lumpur
Machine Learning Intern
- Assist in designing, developing and maintaining AI inference and orchestration pipelines used in production.
8 days
- Design, develop, and deploy machine learning models for fraud and AML detection, supporting both batch and real-time transaction scoring scenarios.
2 days
- Own and lead the end-to-end architecture, orchestration, and delivery of machine learning systems and pipelines, from problem framing to production
12 days
13 days
- Architect and design end-to-end AI/ML solutions leveraging Azure ML, OpenAI APIs, and other Generative AI technologies.
15 days
10 days
Machine Learning Lead (Data - AI Middleware)
- Own and extend the identity / firmographic and financial layers of the ICP Profile Schema, working from Companies House API data and the Data Platform.
18 days
Machine Learning Lead (Data - AI Middleware)
- Own and extend the identity / firmographic and financial layers of the ICP Profile Schema, working from Companies House API data and the Data Platform.
18 days
- Design, develop, and deploy machine learning models for fraud and AML detection, supporting both batch and real-time transaction scoring scenarios.
27 days
- Own and lead the end-to-end architecture, orchestration, and delivery of machine learning systems and pipelines, from problem framing to production
30+ days
Machine Learning Operation Engineer (MLOps Engineer)
- Design, deploy and maintain scalable cloud and Kubernetes infrastructure for ML workloads, including container orchestration, autoscaling and production deployments
29 days
Backend Machine Learning Programmer
- Design and build scalable backend services and APIs for machine-learning and AI features.
30+ days
- Architect and design end-to-end AI/ML solutions leveraging Azure ML, OpenAI APIs, and other Generative AI technologies.
30+ days
3 days
2 days
2 days
- Design, build, and maintain MLOps pipelines for training, testing, deploying, and monitoring AI/ML models in production, ensuring stable, reliable, and scalable performance.
2 days
- Build agents and multi-step automations that replace manual work across finance, marketing, business development and web.
2 days
- Build, deploy and support approved AI use cases, agents and reusable assets for internal audit.
1 day
- Data Science - Analytics, Machine Learning, Deep Learning
1 day
Data Science - AI Internship
- Execute AI Use Cases: Assist the team in developing and deploying artificial intelligence solutions based on business requirements.
Today
- Build agents and multi-step automations that replace manual work across finance, marketing, business development and web.
4 days
Senior Applied AI Engineer
- Own complex or cross-domain initiatives, turning ambiguous business needs into reliable production outcomes.
6 days
- Build agents and multi-step automations that replace manual work across finance, marketing, business development and web.
6 days
Senior AI Engineer
- Own solution architecture and technical decisions for AI services.
6 days
7 days
- Build agents and multi-step automations that replace manual work across finance, marketing, business development and web.
9 days
LLM Inference Engineer
- Set up NVIDIA B300 GPU servers, including drivers, CUDA, NCCL, RDMA, Docker, and Kubernetes.
9 days
10 days