Senior ML Systems Engineer - Production-Ready AI

A1; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

A1 in Singapore is seeking an experienced Technical Lead, Machine Learning to own the execution layer of our intelligence stack. You will translate research direction into reliable, scalable ML systems that power real-world workflows and applications.

You will work across research, infrastructure, and production, delivering training pipelines, deployment strategies, and observable systems while collaborating with backend, mobile, and desktop teams to ship high-impact AI capabilities.

Qualifications

• You have built or shipped real ML systems used by people.
• Strong production-grade coding practices and clean interfaces.
• You can operate across research, infra, and product teams.

Responsibilities

• Own end-to-end ML system execution: data pipelines to deployment.
• Fine-tune and adapt models using LoRA, QLoRA, SFT, DPO, and distillation.
• Architect scalable inference architectures balancing latency and cost.
• Design data systems for high-quality synthetic and real-world training data.
• Implement evaluation pipelines for performance, robustness, safety, and bias.
• Own production deployment including GPU optimization and memory efficiency.
• Collaborate with backend, mobile, and desktop teams to integrate ML into products.
• Make pragmatic trade-offs and ship improvements quickly.
• Work under production constraints: latency, cost, reliability, safety.

Skills

Python

Model deployment

System design

Tools

PyTorch

JAX

GPU optimization

Job description

A1 in Singapore is seeking an experienced Technical Lead, Machine Learning to own the execution layer of our intelligence stack. You will translate research direction into reliable, scalable ML systems that power real-world workflows and applications.

You will work across research, infrastructure, and production, delivering training pipelines, deployment strategies, and observable systems while collaborating with backend, mobile, and desktop teams to ship high-impact AI capabilities.