Entry Level Data Analyst jobs in Malaysia

The AI Platform team empowers Grab teams to leverage advanced AI seamlessly and effectively. We're building cutting‑edge tools and infrastructure to democratize AI capabilities, accelerate innovation, and enhance Grab's products and services at scale.

As a Principal Machine Learning Engineer focused on AI Infrastructure, you will shape the backbone of Grab's AI ecosystem. You will design and evolve scalable platforms for model training, serving, and evaluation—anchored on technologies like Ray and Kubernetes—that enable thousands of engineers and data scientists to innovate safely and efficiently. Your role is pivotal in ensuring Grab's AI foundation is cost‑efficient, resilient, and future‑ready.

You will report to the Head of Engineering.

This role will be onsite at Grab office.

• Independently Lead and Execute Demonstrate strength as a technical lead by taking full responsibility for projects conception, planning and execution.
• Architect the Future of AI Infrastructure Design and scale the next generation of distributed systems for model training, inference, and experimentation on Kubernetes and Ray.
• Build Platforms for Scale= Develop core abstractions, APIs, and services that make AI experimentation, deployment, and monitoring seamless across Grab.
• Enable Cost‑Efficient AI at Scale Drive initiatives to optimize GPU/CPU utilization, storage, and networking for large‑scale AI workloads, driving significant efficiency gains.
• Integrate Research with Production Systems Translate cutting‑edge distributed training, scheduling, and serving techniques into production‑ready systems that can handle Grab's scale.
• Influence AI Platform Strategy Partner with engineering and product leadership to set direction for Grab's AI infrastructure roadmap, balancing long‑term vision with practical execution.
• Mentor and Inspire Provide deep technical mentorship, foster platform‑thinking, and cultivate a culture of excellence across engineering and research teams.