Machine Learning Engineer (LLM & AI Systems)

We’re partnering with a fast-growing AI technology company to hire exceptional Machine Learning Engineers across Senior, Staff, Principal and Technical Lead levels.This is an exciting opportunity to build the next generation of AI assistants that go beyond traditional chatbots. You’ll be developing intelligent AI systems capable of understanding long-term context, automating workflows, integrating with external tools, and helping millions of users complete everyday tasks more efficiently.If you’re passionate about Large Language Models (LLMs), production AI systems, and solving complex engineering challenges at scale, we’d love to speak with you.Why Join Our Client?🌍 100% Remote – Work from anywhere with a remote-first engineering culture.🚀 Build cutting-edge AI products used by millions of users worldwide.🤖 Work with the latest LLM technologies and solve challenging real-world AI problems.💡 High ownership, fast decision-making and the opportunity to make meaningful technical impact.Key Responsibilities:Design and build end-to-end ML pipelines covering data, model training, evaluation, inference and production deployment.Fine-tune and optimise LLMs using techniques such as LoRA, QLoRA, SFT, DPO and model distillation.Develop scalable inference infrastructure with a focus on performance, GPU optimisation, latency and reliability.Build high-quality data pipelines and evaluation frameworks to continuously improve model performance.Collaborate closely with AI researchers and software engineers to deliver production-ready AI solutions.Drive continuous improvements through rapid experimentation and real-world product feedback.As a Principal / Technical Lead, you will lead technical architecture, mentor engineering teams and shape the long-term AI platform strategy.Key Requirements:Minimum 4 years of relevant experiences required. Proven technical leadership experience will be consider for Principal or Technical Lead roles.Strong experience in Deep Learning, Transformer architectures and Large Language Models (LLMs).Hands-on experience training, fine-tuning or deploying large-scale ML models in production.Proficiency with PyTorch, JAX or similar ML frameworks.Experience with distributed training or inference technologies such as DeepSpeed, FSDP, Megatron, Ray or ZeRO.Strong software engineering fundamentals with experience building scalable, production-grade systems.Experience in GPU optimisation, quantisation and high-performance inference is highly advantageous.Interested candidates can forward their CVs in MS Word format to [email protected] No. R1983718Triton AI Pte LtdLicense no. 21C0661