Kerja Sepenuh Masa, LLM Fine-Tuning Engineer di China Mobile International Limited Federal Territory - Maukerja

Turn Enterprise Data into Useful AI

China Mobile Malaysia is looking for an LLM Fine-Tuning Engineer to develop enterprise-grade custom models for real business use cases. You will work across model selection, data preparation, supervised fine-tuning, preference alignment, evaluation, optimisation and production deployment.

What You'll Own

• Translate enterprise requirements into practical model strategies covering model selection, fine-tuning approach, data design, evaluation and deployment.
• Fine-tune and optimise open-source LLMs using supervised fine-tuning (SFT), instruction tuning, LoRA/QLoRA, P-Tuning and preference-alignment methods such as DPO or RLHF.
• Build reliable training pipelines, tune hyperparameters, monitor experiments and troubleshoot data, convergence, performance and GPU-memory issues.
• Create high-quality domain datasets through collection, cleaning, annotation design, synthetic data generation, augmentation and data-quality controls.
• Evaluate models through automated benchmarks and human review, with a focus on domain accuracy, instruction following, hallucination, safety and production readiness.
• Support deployment and cost-performance optimisation through quantisation, distillation and inference acceleration, while producing clear delivery documentation and evaluation reports.

What Success Looks Like

• Enterprise requirements are converted into clear model, data, training, evaluation and deployment plans.
• Fine-tuned models show measurable improvement on relevant domain tasks while meeting quality, safety and cost targets.
• Training assets, datasets, evaluation results and delivery documentation are reproducible and ready for handover to platform and customer teams.

What You'll Bring

• A bachelor's degree in computer science, artificial intelligence, mathematics, statistics or a related field, or equivalent practical experience; a master's degree is an advantage.
• Two or more years of hands-on experience in NLP, large language models, model fine-tuning or AI model deployment.
• Strong Python and PyTorch skills, with a solid understanding of machine learning, deep learning and Transformer architectures.
• Practical experience with SFT, LoRA/QLoRA and at least one preference-alignment approach such as DPO or RLHF.
• Experience with tools such as Hugging Face Transformers, PEFT, TRL, LLaMA-Factory, DeepSpeed or Megatron.
• Strong data engineering, analytical and English communication skills, with the ability to work directly with technical and customer teams.

What We Offer

• A competitive remuneration package and performance-based incentives, subject to company policy.
• Medical and insurance benefits in line with company policy.
• Professional development, technical learning and certification support.
• Hands-on exposure to enterprise generative AI, multi-model ecosystems and diverse compute platforms.
• The opportunity to build custom AI solutions with visible impact across enterprise and regional projects.