Global LLM Intern: Train, Fine-Tune & Deploy AI Models

Razer (Asia-Pacific) Pte. Ltd; Singapore; On-site; SGD 17,000 - 27,000; Full time

Job summary

Razer (Asia-Pacific) Pte. Ltd. invites applicants for an ML internship to train and optimize language models for Razer Software.

You will tackle the full training pipeline—from corpus construction to deployment optimization—and own workstreams end-to-end with guidance from senior data scientists and engineers. You’ll learn practical ML data engineering, model evaluation, and deployment considerations, including latency and memory constraints, while contributing to a real production roadmap in a

Qualifications

• Education: Current Bachelor's, Master's, or PhD student in CS, AI, Data Science, or a related field.
• Must‑have knowledge: LLM training paradigms (pretraining, SFT, LoRA, preference optimization); Transformer/deep learning fundamentals; deployment constraints (latency, memory) shape training decisions
• Must‑have skills: Python; hands‑on PyTorch model training; data engineering for training corpora (cleaning, filtering, dedup, mixing); end‑to‑end experiment running (debugging, hyperparameter tuning, analysis); benchmarking quality/latency/memory
• Nice‑to‑have: Model compression (quantization, distillation), distributed training (multi‑GPU/parallelism), Hugging Face/Accelerate/DeepSpeed, Linux environment
• Screening bar (hard requirement): Demonstrable hands‑on model training/fine‑tuning experience (coursework, research, internship, or open‑source). API‑calling or prompt‑engineering‑only experience does not qualify.

Responsibilities

• Train and optimize language models for Razer Software across the full pipeline — pretraining corpus construction, fine‑tuning, evaluation, and deployment optimization.
• You’ll own discrete workstreams end‑to‑end (design → run → debug → analyze → iterate) on the model powering Razer Software.
• Collaborate with senior data scientists and engineers to align training with production constraints and roadmap.

Skills

Python

PyTorch

Data engineering for training corpora

Experiment automation

Education

Current Bachelor's/Master's/PhD student in CS/AI/DS or related field

Tools

Hugging Face/Accelerate/DeepSpeed

Linux environment

Job description

Razer (Asia-Pacific) Pte. Ltd. invites applicants for an ML internship to train and optimize language models for Razer Software.

You will tackle the full training pipeline—from corpus construction to deployment optimization—and own workstreams end-to-end with guidance from senior data scientists and engineers. You’ll learn practical ML data engineering, model evaluation, and deployment considerations, including latency and memory constraints, while contributing to a real production roadmap in a