Machine Learning Engineer (Senior/Principal) - Model Training

Michael Page; Singapore; On-site; SGD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive salary

Bonus

GenAI exposure

GPU infrastructure access

Job summary

Michael Page is seeking a highly skilled AI/ML engineer to own and drive end-to-end AI solutions in an enterprise environment. You will build and optimize large-scale ML and GenAI models, develop AI agents and LLM-powered applications, and collaborate with data scientists and engineering teams.

You will work with advanced GPU infrastructure, design scalable pipelines, and contribute to CI/CD deployment frameworks.

Qualifications

• Experience building and deploying ML/GenAI solutions in enterprise environments.

Responsibilities

• Build and optimize large-scale ML and GenAI models.
• Develop AI agents and LLM-powered applications.
• Improve GPU training and inference performance.
• Design scalable ML pipelines and cloud-based AI solutions.
• Implement CI/CD and deployment frameworks.
• Collaborate with data scientists and engineering teams.

Skills

LLM infrastructure

Distributed GPU systems

Inference optimization

Tools

LangChain

LangGraph

LlamaIndex

Job description

• Own and drive end-to-end AI solutions in an enterprise environment
• Competitive salary and comprehensive benefits package.

About Our Client

Our client is a global technology leader that develops advanced computing, data, and intelligent systems solutions used worldwide. Known for its commitment to innovation, research excellence, and engineering expertise, the organization invests heavily in artificial intelligence, high-performance computing, and digital transformation initiatives to solve complex business and industrial challenges.

Job Description

• Build and optimize large-scale ML and GenAI models.
• Develop AI agents and LLM-powered applications.
• Improve GPU training and inference performance.
• Design scalable ML pipelines and cloud-based AI solutions.
• Implement CI/CD and deployment frameworks.
• Collaborate with data scientists and engineering teams.

The Successful Applicant

This role is ideal for someone who enjoys working across the full LLM infrastructure stack, including:

• Large-scale model training and fine-tuning (SFT, RLHF) - Hiring Priority
• Distributed GPU systems (DDP, FSDP, DeepSpeed, multi-node training)
• Inference optimization (vLLM, TensorRT-LLM)
• Good-to-Have: Agentic AI development using frameworks such as LangChain, LangGraph, and LlamaIndex

What's On Offer

• Competitive salary and bonus.
• Exposure to GenAI, Agentic AI, and large-scale AI systems.
• Opportunity to work with advanced GPU infrastructure.
• Strong career growth and learning opportunities.
• Collaborative and innovative engineering culture.

Contact

Quote job ref: JN-072026-7074801