Senior/Principal Machine Learning Engineer - Model Training
Singapore · Full Time
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- Posted
- 5 days ago
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Job description
About the Company
The client is a prominent global technology enterprise recognized for pioneering advancements in computing, data science, and intelligent systems. It emphasizes innovation, research excellence, and engineering prowess, focusing on artificial intelligence, high-performance computing, and digital transformation to address intricate industrial and business challenges.
Role Overview and Responsibilities
- Lead and manage the complete lifecycle of AI solutions within an enterprise setting.
- Design, build, and optimize extensive machine learning and generative AI models.
- Develop AI agents and applications powered by large language models (LLM).
- Enhance GPU training and inference efficiency and performance.
- Architect scalable machine learning pipelines alongside cloud-based AI infrastructures.
- Implement continuous integration/delivery (CI/CD) and deployment systems.
- Collaborate closely with data scientists and engineering teams to deliver robust AI solutions.
Ideal Candidate Profile
- Experience in large-scale model training and fine-tuning methods such as Supervised Fine Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF); this is a hiring priority.
- Familiarity with distributed GPU training systems including Distributed Data Parallel (DDP), Fully Sharded Data Parallel (FSDP), DeepSpeed, and multi-node training techniques.
- Expertise in optimizing inference speed and resource utilization with tools like vLLM and TensorRT-LLM.
- Preferably experienced in developing agentic AI using frameworks such as LangChain, LangGraph, and LlamaIndex.
Compensation and Benefits
- A competitive salary package complemented by performance-based bonuses.
- Exposure to cutting-edge technologies, including Generative AI, Agentic AI, and enterprise-scale AI architectures.
- Opportunities to work with advanced GPU infrastructure and to engage in substantial career development and learning.
- A collaborative and innovative engineering culture fostering professional growth.