AI lab is a service provider of AI-driven products and solutions for various industries. We are dedicated to leveraging cutting-edge technologies to enhance business operations and deliver innovative solutions to our clients.
We are hiring a Computer Vision AI Engineer to join our applied AI team focused on building and deploying vision-based AI solutions for real-world applications. You will be responsible for implementing computer vision models and pipelines under the guidance of tech leads, contributing to commercial AI projects involving image/video analysis, object detection, and visual understanding systems.
Location: Hanoi office 5th Floor, Zodiac Building, 19 Duy Tan, Dich Vong Hau, Cau Giay, Hanoi.
Follow and implement computer vision solutions as defined by technical leadership.
Develop and optimize deep learning models for image and video processing tasks such as object detection, classification, segmentation, and tracking.
Build data pipelines and training workflows for computer vision models.
Integrate computer vision models into production environments and backend services.
Monitor model performance, accuracy, and system reliability in production.
Contribute to client-facing commercial AI projects and collaborate effectively with cross-functional teams.
Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
3+ years of experience in Computer Vision or Deep Learning.
Strong proficiency in Python
Practical experience with PyTorch, TensorFlow, or similar deep learning frameworks
Solid understanding of computer vision techniques and deep learning architectures (CNNs, Transformers for vision).
Experience with image processing, model training, evaluation, and deployment.
Familiarity with OpenCV or similar computer vision libraries
A good team player and problem solver.
Preferred Qualifications:
Strong command of English (verbal and written).
Experience with advanced vision models (e.g., YOLO, Detectron2, Segment Anything...).
Experience with model optimization, inference acceleration, and edge deployment.
Backend development skills including: FastAPI, Docker, Git, AWS.
BENEFITS:
