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Computer Vision Researcher / Engineer | SaaS, cloud
The Company is a leading provider of a SaaS cloud-based AI solution that seamlessly connects a diverse range of video cameras to facilitate the acquisition, evaluation, and interpretation of in-store data. With a dedicated team of over 40 individuals, we have successfully established a strong market presence in Hong Kong, SEA, APAC, and various other global locations.
As part of the team, you'll experience a supportive and innovative work environment. The Company prioritizes clean, efficient, and secure code development for scalable applications. Working with a state-of-the-art GPU processing pipeline, you'll have access to advanced technologies and techniques. The Company fosters a culture of collaboration and continuous learning, embracing the latest technology stacks and encouraging knowledge sharing. Personalized development strategies are in place to support your growth and help you reach your full potential.
Join the Company to be part of a motivated team shaping the future of AI in the data-driven decision-making landscape. Embrace the challenge and excitement of working with cutting-edge technology.
Responsibilities
Apply machine learning and deep learning techniques to enhance the accuracy of computer vision algorithms.
Solve challenging computer vision problems for large-scale consumer experiences worldwide.
Conduct innovative research in object classification, detection, tracking, and semantic understanding of real-world scenes.
Stay updated with the latest computer vision and deep learning research by actively reading papers from conferences such as CVPR.
Implement state-of-the-art computer vision algorithms in a cloud production environment.
Enhance and optimize inference pipelines for efficient processing.
Implement autoscaling and monitoring mechanisms for deployed machine learning models.
Support computer vision research efforts by developing tools to streamline the research and testing pipeline.
Collaborate with the team to ensure the successful deployment of machine learning algorithms in a production environment.
Apply machine learning algorithms to computer vision applications, including object and motion detection, tracking, and classification.
Qualifications
Degree in computer science, machine learning, mathematics, or equivalent research experience.
Experience in computer vision-related research and development.
Proficiency in Python, with strong skills in Go, C++, and CUDA or Nvidia SDK is a plus.
Familiarity with OpenCV and deep learning libraries such as TensorFlow/PyTorch.
Experience working in a cloud production environment.
Knowledge of applying machine learning algorithms in a production environment.
Strong understanding of computer vision applications, including object and motion detection, tracking, and classification.
Excellent problem-solving skills and ability to work in a collaborative team environment.
Note: This merged job ad caters to both the Computer Vision Researcher and Computer Vision Engineer roles, offering an opportunity for individuals with varying levels of seniority to contribute to the team's objectives.
Apply / Refer a Friend
Interested parties, please send your CV / LinkedIn profile to Scarlett Chan at [email protected] or apply directly.
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Please note that only shortlisted applicants will be contacted.
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