Found Description
Location: SG
Job DescriptionAbout the Role: We are building an AI‑powered, multi‑modal RAN optimisation platform and need a technically sharp junior engineer to help design, train, and deploy language model components at the core of the system. You will work on SLM/LLM selection, fine‑tuning, RAG pipeline construction, and production‑grade hallucination mitigation.
Key Responsibilities- Evaluate, benchmark, select, deploy and optimise SLMs and LLMs (e.g., Phi‑3, Mistral 7B, Llama 3.x, Qwen 2.5) for telecom‑domain tasks including prompt‑based optimisation, KPI anomaly explanation, and configuration audit, within on‑prem/private cloud environments with GPU acceleration.
- Design and implement RAG pipelines integrating PM/CM/FM data, drive test logs, and vendor documentation as retrieval corpora; manage chunking, embedding, and vector store selection.
- Apply LoRA and QLoRA fine‑tuning to adapt foundation models on operator...