Michael Page Hiring! Full Time Machine Learning Engineer (Senior-Principal) - Model Training in - Ricebowl

• 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:

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