Principal Machine Learning Engineer, AI Platform (Agent Platform)

PLT Engineering; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading technology firm in Singapore is seeking a Principal Machine Learning Engineer to lead the development of AI capabilities across business domains. In this role, you will spearhead strategies for dataset development, optimization techniques, and scalable AI systems. You will also mentor team members and align AI initiatives with strategic goals in a collaborative environment.

Qualifications

• Experience in applying advanced AI techniques in a production environment.
• Proficiency in developing AI strategies and mentorship skills.
• Familiarity with deep learning frameworks.

Responsibilities

• Develop long-term AI strategies for business domains.
• Drive dataset development and fine-tuning techniques.
• Design scalable systems for operational efficiency.

Skills

AI strategy development

Dataset development

Fine-tuning techniques

Optimization strategies

Mentorship

Job description

Get to Know the Team

The AI Platform team empowers Grab teams to harness advanced AI efficiently and effectively. By developing cutting-edge tools and infrastructure, the team democratises AI capabilities, fosters innovation, and scales AI-powered solutions to elevate Grab's products and services.

Get to Know the Role

As a Principal Machine Learning Engineer focused on building our Agent Platform, you will report into the Head of Engineering, Machine Learning and Experimentation Platforms and work onsite in Grab One North Singapore office. You'll lead initiatives in agent evaluation, dataset creation, fine-tuning, optimization, and deployment strategies.

The Critical Tasks You will Perform

• You will develop and advocate for long-term AI strategies to embed advanced AI capabilities across Grab's business domains.
• You will drive initiatives for dataset development (including annotation and synthetic data processing), fine-tuning techniques (e.g., adapters, LoRA, PEFT), and optimization strategies like quantization, pruning, and distillation.
• You will apply the latest AI research to design scalable, production-ready systems that generate measurable business value.
• You will design pipelines to streamline model customization, encompassing training, evaluation, deployment, and monitoring for operational efficiency.
• Collaborating with leadership, you will ensure organisational AI efforts align with strategic goals, identifying opportunities for impactful AI applications.
• You will mentor team members, cultivate innovation, and build technical expertise within engineering, research, and product teams.