Lead ML Engineer (Remote)

Alphasearch; Singapore; Remote; SGD 180,000 - 260,000; Full time

Job summary

Alphasearch is seeking a Lead Engineer, Machine Learning to turn research and model capabilities into reliable, scalable production systems. You will own the full ML lifecycle from data handling to deployment, building large-model training pipelines and optimizing GPU-based inference.

The successful candidate will provide technical direction and collaborate with research and application teams, with priority given to candidates based in Singapore.

Qualifications

• Strong experience building and deploying production ML systems.
• Solid knowledge of large-model training, fine-tuning, evaluation and inference.
• Experience operating ML workloads at scale with Python, PyTorch or JAX.

Responsibilities

• Lead ML systems from training to deployment.
• Build high-performance GPU training and inference.
• Turn advanced models into reliable products.

Skills

Python

PyTorch

JAX

Software engineering

Tools

GPU clusters

Training pipelines

Job description

• Lead ML systems from training to deployment
• Build high-performance GPU training and inference
• Turn advanced models into reliable products

The Company

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 Position

The 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 Person

The 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 at scale. Experience 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.