2 months ago
Singapore, SingaporeStaff+
Responsibilities
- Design end-to-end AI Platform solutions with data scientists and ML engineers and serve as the senior technical escalation point.
- Drive large-scale training improvements across throughput, reliability, cost, and developer experience, including foundation model training, reinforcement learning, simulation, and LLM fine-tuning.
- Improve the end-to-end model lifecycle from data and training through evaluation, deployment, and monitoring.
- Design integrations across model serving, ML pipelines, data serving, AI infrastructure, and AI automation tooling.
- Translate user pain points into functional requirements and cross-platform solutions.
- Create reference architectures, reusable patterns, and best-practice guidance for ML use cases.
- Shape the platform roadmap, evaluate state-of-the-art infrastructure, contribute through code and design reviews, and mentor senior engineers.
Requirements
- Expert-level mastery of ML lifecycle platforms such as Kubeflow, MLflow, Triton, and TorchServe.
- At least 10 years of experience with Kubernetes, containerization, and high-performance computing clusters using GPUs or TPUs.
- Experience optimizing large-scale data and model pipelines and designing available, scalable, and secure multi-tenant platform services.
- Hands-on experience with LLM orchestration, fine-tuning infrastructure, or serving optimization using technologies such as vLLM or TensorRT-LLM.
- Strong system design, technical ownership, independent execution, and ability to evaluate state-of-the-art infrastructure paradigms.
- Experience with distributed training frameworks including PyTorch, Ray, and Horovod.
- Commitment to mentoring senior engineers and raising engineering quality.
Benefits
- Term Life Insurance and comprehensive Medical Insurance.
- GrabFlex benefits package customization.
- Parental leave, Birthday leave, and Love-all-Serve-all volunteering leave.
- Confidential Grabber Assistance Programme.
- FlexWork arrangements, including differentiated hours.
- Inclusive and equitable equal-opportunity workplace.
Tech Stack
Categories
About Grab
Grab builds a Southeast Asia superapp for mobility, deliveries, and financial services, serving consumers, drivers, merchants, and enterprises. It monetizes via ride and delivery commissions, merchant services (such as ads and subscriptions), and payments and digital banking products. Founded in 2012 and headquartered in Singapore, Grab operates across multiple Southeast Asian markets and is publicly listed on NASDAQ.