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Job Overview
We are seeking a skilled and passionate AI Engineer to join our team in developing and optimizing AI solutions, focusing on LLM (Large Language Models) and RAG (Retrieval-Augmented Generation) systems. This role involves working across both on-device and cloud environments, contributing to end-to-end model development, deployment, and performance optimization.
Job Description
- Learning and tuning LLM and RAG models (fine-tuning, LoRA, etc.)
- Optimizing and deploying on-device and cloud environment models (ONNX, Qualcomm NPU, etc.)
- Building a RAG pipeline based on document embedding and vector retrieval
- Data preprocessing and pipeline automation
- Monitoring and improving model performance
Job Requirements
Candidate should possess a Bachelor's Degree or equivalent in Science & Technology, Mathematics, Computer Science / Information Technology, or Engineering (Computer / Telecommunication)Preferably EXECUTIVE specializing in Information Technology or equivalentFresh graduates are encouraged to applyGood communication skills in English and Malay (both spoken and written)2 PERMANENT positions availableTechnical Skills
Model training : Fine-tuning, LoRA, quantization, training dataRAG configuration : Document preprocessing, chunk embedding, vector DB, LLM interworkingDeployment / Optimization : ONNX Runtime, NPU OptimizationOptional (Added Advantage)
On-device AI model optimization experience (Mobile / Embedded, Qualcomm AI)Large-scale data learning and distributed learning experienceExperience using cloud AI platforms (Vertex AI, Azure OpenAI, AWS)Seniority Level
Entry level
Employment Type
Full-time
Job Function
Engineering and Information Technology
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