- Kuala Lumpur Federal Territory Malaysia
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
· Design and optimize prompt engineering strategies.
· Curation of datasets for RAG and model fine-tuning
· Fine-tune LLMs using domain-specific datasets
· Apply RLHF to improve agent decision-making.
· Implement agents using Vertex AI, PaLM, Gemini.
· Collaborate on agent architecture and evaluation.
· Use MCP to standardize agent interaction.
· Proficient in Python, TensorFlow, JAX, PyTorch.
· Hands-on with Vertex AI, Gemini, etc.
· Knowledge of transformers, LoRA, quantization, PEFT.
· Experience with Agentspace, ADK, A2A, MCP protocols.
· Prompt tuning and chain-of-thought expertise.
Pay: RM2,071.27 - RM21,263.12 per month
Experience:
Work Location: In person
Peringatan Penting
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