Lead ML Engineer; Remote
Singapore
Listed on 2026-10-02
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
- Lead ML systems from training to deployment
- Build high-performance GPU training and inference
- Turn advanced models into reliable products
Our client is a fast-growing technology company building AI-native applications designed to make everyday digital workflows more proactive, intelligent and intuitive. The business is focused on applying AI to real-world activities such as conversations, tasks, organization and personal workflows, with an emphasis on reliability, persistent context and practical task completion.
The PositionThe Lead Engineer, Machine Learning will turn research and model capabilities into reliable, scalable production systems. The role covers the full ML lifecycle, including data, training, fine-tuning, evaluation, inference and deployment. Responsibilities include building large-model training pipelines, developing evaluation systems, optimising GPU-based inference and establishing infrastructure for monitoring and continuous model improvement. The role will also provide technical direction and work closely with research and application engineering teams.
The PersonThe successful candidate will have strong experience building and deploying production ML systems, with solid knowledge of large-model training, fine-tuning, evaluation and inference. Strong software engineering fundamentals are essential, together with experience operating ML workloads erience with Python, PyTorch or JAX, GPU-based training and inference systems will be highly relevant.
Priority will be given to candidates who are currently based in Singapore.
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