Nền Tảng & Mô Hình - AI Research Engineer (Chuyên Gia Nguyên Cứu AI)

Core Requirements
● Strong engineering background with proficiency in one or several mainstream programming languages, including C/C++, Python, Rust and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch).
● Familiar with llm/vlm training frameworks (unsloth, llamafactory, verl trl,...)
● Solid understanding of core ML/AI concepts and mathematics (linear algebra, probability, optimization).
● Experience deploying AI/ML models in production environments.
● Familiarity with one or more of the following areas:
○ Computer Vision: vision-language model, vision foundation model, object/behavior detection, re-identification, object tracking, object segmentation, diffusion-based models.
○ NLP: transformers, RAG pipelines, large language models, conversational AI, or text understanding for diverse applications.
○ Agentic AI Systems: tool-using agents, multi-agent coordination, or autonomous workflows.
○ Multi-Domain AI: experience adapting AI solutions across different verticals (urban tech, consumer apps, enterprise systems).
Bonus Points
● Experience across multiple domains such as smart cities (traffic analytics, surveillance, sensor data, public safety), consumer applications (recommendation systems, personalization, user experience), or enterprise intelligent systems.
● ML Ops knowledge: MLflow, W&B, Docker, cloud compute (AWS, GCP, etc.).
● LLM/VLM serving: vLLM, Sglang, tensorrt-llm.
● Exposure to distributed training or large-scale data processing.
● Experience with API development, microservices architecture, or full-stack AI integration.
● Contributions to research papers or open-source ML libraries.
Why Join Us?
● Shape the future of intelligent AI applications across smart cities, super apps, and comprehensive intelligent systems for a top-tier company in the field.
● Work with a passionate team solving meaningful real-world problems.
● Competitive salary and benefits with clear growth paths:
○ Heath, social insurances
○ 13th month salary
○ Other benefits
● Opportunities to work on state-of-the-art AI with real-world deployment across multiple high-impact verticals.
● Exposure to diverse technical challenges and the chance to build expertise across various AI application domains.