Thu phí tự động VETC ★ 1.5

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