Mô tả công việc
Contribute to the development and improvement of RAG (Retrieval-Augmented Generation) systems for real-world applications.
Build and optimize image search / visual retrieval systems on large-scale datasets.
Work with embedding models and vector databases (e.g., Milvus, FAISS).
Research and implement Machine Learning / Deep Learning models for search and retrieval tasks.
Support data processing tasks such as preprocessing, indexing, and feature extraction.
Participate in technical discussions and propose solutions to improve system performance.
Yêu cầu
A third-year, final-year, or fresh graduate in AI, Data Science, Computer Science, or related fields.
Basic knowledge of:
Machine Learning / Deep Learning
Python (required)
Familiarity with:
Embeddings, similarity search, vector databases (a plus)
Computer Vision or NLP (a plus)
Strong algorithmic thinking and problem-solving skills.
Proactive mindset and ability to read technical documents in English.
Preferred Qualifications
Experience with frameworks such as PyTorch or TensorFlow.
Hands-on projects related to:
RAG/chatbot/search systems
Image retrieval / multimodal models
Strong foundation in Data Structures & Algorithms
Quyền lợi
Paid position after training period
Flexible working hours
Mentorship from experienced engineers (1-on-1 guidance)
Opportunity to work on large-scale, real-world projects
Fast learning environment with a clear path to becoming a full-time
Thông tin khác
Thời gian làm việc
Thứ 2 - Thứ 6 (từ 08:30 đến 17:30)
Thông tin chung
Nơi làm việc
- - Hà Nội: Toà Landmark 72, Phạm Hùng, Từ Liêm, Phường Từ Liêm (quận Nam Từ Liêm cũ)