In our pursuit to solidify our position within the AI landscape in Vietnam, we are seeking a skilled and innovative Computer Vision Developer to join our dynamic team. The ideal candidate will have a strong background in computer vision, machine learning, and software development.
Established in 2018, INFINIQ Vietnam is dedicated to delivering a team of exceptional and professional talent to serve the burgeoning field of artificial intelligence — the technology of the future. INFINIQ Vietnam partners with numerous prominent corporations, including Qualcomm, Samsung, Hyundai, and LG, providing invaluable data services. Furthermore, we offer consulting and software testing services, ensuring quality assurance and stability for products in specialized industries.
INFINIQ is a pioneering South Korean corporation at the forefront of the data provision industry for autonomous vehicles, leveraging the power of artificial intelligence (AI). With a global presence encompassing 8 associations across 9 countries and over 500 esteemed partners, INFINIQ is making significant strides in the industry. Currently, the company has submitted 96 patent applications both domestically and internationally, and holds 5 registered trademarks.
Embrace the opportunity to be part of a transformative era with us!
Top 3 reasons to join us:
Attractive salary
International training
Interacting with leading- edge technologies
Key Responsibilities:
Research and Development: Stay updated on the latest trends in computer vision and conduct research on new methodologies.
System Integration: Integrate computer vision models into applications and collaborate with backend and frontend teams; Collaborate with backend and frontend teams to enhance product features with computer vision capabilities
Data Management: Collect and preprocess image and video datasets to ensure high- quality inputs for model training; Create and maintain labeling guidelines and collaborate with teams on data annotation processes.
Performance Monitoring: Implement monitoring tools to track model performance post- deployment; Identify and troubleshoot issues related to data quality, model performance, and system integration.
Model Training and Evaluation: Train, validate, and evaluate machine learning models using frameworks like TensorFlow, PyTorch, or Keras.
Algorithm Development: Design and implement computer vision algorithms for applications such as image classification, object detection, facial recognition, and image segmentation.
Documentation and Reporting: Create and maintain documentation for algorithms and models; Participate in code reviews and provide constructive feedback to team members.
