Senior AI Engineering – Computer Vision/Python/ ML

Lead the Camera and Edge AI System Development:

Lead the end- to- end research, design, and implementation of camera- based AI detection models for scenarios including member/non- member identification, intrusion detection, abnormal event recognition, and more.
Evaluate, implement, optimize, and deploy AI models on cloud, edge devices, and small AI microcontrollers such as ESP32, ensuring performance, power efficiency, and scalability for real- world store environments.

Lead the Admin Portal for Video Management:

Optimize video resolution, storage costs, and cloud storage architectures for efficiency and compliance.
Develop secure, scalable admin portals to access and manage historical camera video footage, including the implementation of robust retention policies.

Hardware Integration & Configuration:

Build and enhance configuration workflows to streamline rapid, reliable deployment of cameras across multiple store locations.
Design, document, and ensure best practices for seamless hardware- software integration.

IoT & Cloud Service Development:

devices and scalable backend architectures
Contribute to the design and deployment of IoT cloud services, integrating smart

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
Demonstrated experience with leading AI/ML frameworks (e.g., TensorFlow, PyTorch, OpenCV).
Knowledge of audio event detection or multimodal machine learning.
Minimum 2 years of hands- on experience in computer vision engineering with a proven track record of deploying models into production.
Experience with PHP/Laravel, React JS, or Vue JS is a plus.
Experience in optimizing video pipelines for both cost and performance
Experience in developing and scaling enterprise admin portals or analytical dashboards is a strong plus.
Familiarity with agile development methodologies and MLOps workflows.
Preferred Skills
Strong proficiency in Python or C++ for AI model development and systems integration.
Excellent communication and documentation abilities.
Practical skills in hardware configuration, edge device integration, and implementation with cloud platforms such as AWS, Azure, or Google Cloud.
Understanding of privacy, security, and compliance issues related to video and data solutions.

12 annual leave days and 3 paid summer holidays
International, challenging, and friendly working environment
Full of social welfare under Vietnamese Labor Law (Insurance, annual leave, ...)
Working with Japanese experts can help you improve your ability to work
Training: Trained in soft and technical skills
Annual travel and team building activities
Salary for 13th month

Cập nhật gần nhất lúc: 2025-09-29 00:40:02