Nghiên cứu và triển khai LLM, Agentic AI cho sản phẩm bảo mật VinSOC
Yêu cầu
Trí tuệ cao cấp (Thạc sĩ/PhD) AI hoặc Data Mining
Từ 10 năm kinh nghiệm R&D AI và phát triển sản phẩm AI
Nắm vững kiến trúc model: ML, Deep Learning, Transformer, kỹ thuật training hiệu quả
Kinh nghiệm triển khai AI model vào sản phẩm thực tế
Kiến thức sâu về ML ứng dụng CV, NLP, Speech, Data Analytics
Trách nhiệm
Nghiên cứu và phát triển LLM, Agentic AI giải quyết thách thức bảo mật
Thiết kế và triển khai AI model lên sản phẩm VinSOC
Đẩy mạnh nghiên cứu giải pháp công nghệ mới, xuất bản hoặc đăng ký bảo trợ
Quản lý đội ngũ, giao việc theo lộ trình sản phẩm
Có thì tốt
Sách xuất bản khoa học có tác động cao hoặc bảo trợ sáng chế
Nền tảng kiến thức bảo mật mạng, thái độ chủ động học hỏi liên tục
Tóm tắt bằng AI từ JD gốc, đọc JD gốc trước khi ứng tuyển.
VinSOC is looking for a senior AI leader to drive the research, development, and real-world application of LLMs, Agentic AI, and advanced machine learning for cybersecurity products.
This role is ideal for candidates who combine strong research depth, hands-on AI productization capability, and team leadership experience to turn advanced AI into scalable, production-ready solutions.
**Key Responsibilities**
Research and development: Research and develop Large Language Models (LLMs) and Agentic AI systems applied to solving cybersecurity challenges, as well as machine learning models for data analysis and mining.
Design and Implementation: Design and deploy AI models onto VinSOC’s platform products.
Innovation and Publication: Drive research into emerging technological solutions with practical applications in cybersecurity; achieve scientific publications or patent registrations.
Team Leadership: Manage personnel, delegate tasks, and oversee progress according to product release milestones.
Cross-functional Collaboration: Coordinate with cybersecurity specialist departments to clarify problem statements and propose AI-driven solutions to enhance operational efficiency.
**Requirements**
Bachelor’s degree with Honors (Distinction) or higher in Information Technology, Computer Science, or related fields. A Master’s or Ph. D. specializing in Artificial Intelligence or Data Mining is required.
At least 10 years of experience in R&D of AI models and developing AI-driven products.
Profound understanding of model architectures, including Machine Learning, Deep Learning, and Transformers, proven expertise in efficient model training techniques.
Broad knowledge and deep hands-on experience in statistical machine learning applied to Computer Vision (CV), Natural Language Processing (NLP), Speech Processing, and Data Analytics.
Proven track record of deploying AI models into production and real-world applications.
Strong systems thinking and advanced problem-solving skills.
Extensive experience in leading R&D teams or AI engineering teams to deliver real-world products or pioneering technological research projects.
**Preferred Qualifications**
Research Excellence: A strong track record of high-impact scientific publications or patents.
Domain Expertise: Background knowledge and understanding of the Cybersecurity field, a proactive attitude and a strong willingness to continuously learn and deepen expertise in security-related domains.
