Tweet
Facebook
Copy Link
About Us
We are an AI-first company building next-generation applications that power diverse
intelligent systems across multiple domains. Our mission is to apply cutting-edge machine learning
and AI research to solve complex real-world problems at scale, from smart cities to super apps and
comprehensive intelligent systems.
We’re looking for passionate AI Engineers to join our team and work on impactful projects
across computer vision, natural language processing, and agentic AI systems. If you're excited
about deploying models that make a difference and thrive in an applied research environment, we
want to talk to you.
What You’ll Do
● Design, train, and deploy AI models in production to support real-time or large-scale
applications.
● Lead or contribute to projects involving CV, NLP, and generative AI (e.g., RAG, diffusion
models, agent-based systems).
● Collaborate closely with software engineers, product managers, and researchers to turn
ideas into end-to-end AI solutions.
● Build robust pipelines for training, evaluation, and inference using modern ML Ops
practices. ● Stay up-to-date with recent advancements in AI/ML and bring innovative approaches
to solve challenges across various industry domains.What We’re Looking For
Core Requirements:
● Strong engineering background with proficiency in Python and deep learning frameworks
(PyTorch, TensorFlow, Unsloth, or similar).
● 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: object/behavior detection, re-identification, segmentation, or
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.).
● 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.
Contact: Zalo Ms. Nguyệt - 0769288088
Công ty VETC được thành lập với mục tiêu trở thành đơn vị triển khai và vận hành hệ thống thu phí tự động ETC (Electronic Toll Collection) tại Việt Nam. Mong muốn của VETC là mang đến giải pháp thu phí ứng dụng công nghệ hiện đại góp phần tăng tốc cho sự phát triển chung của lĩnh vực Giao thông Vận tải nói riêng và nền kinh tế Việt Nam nói chung.
Ý tưởng đầu tư hệ thống thu phí tự động không dừng của VETC được bắt nguồn từ những đánh giá về lợi ích mà hệ thống này mang lại, đồng thời dựa trên thực tế thành công của nhiều quốc gia/vùng lãnh thổ trên thế giới.