Software engineer

4 weeks ago


Central And Western District, Hong Kong SAR China HairCoSys Limited Full time

On-site Full Time Permanent 3 year or below Associate Skills:3 D Drawing, C++, Python We are seeking a motivated Software Engineer to join our team and work on an exciting project. Responsibilities: Research and develop software algorithms for converting 2 D images into 3 D models Research and develop hair analysis algorithms for virtual hair styling simulation Collaborate with cross-functional teams to test and validate the software. Gather user feedback and optimize continuously to refine the designs through meticulous testing. Project planning, resource management, and risk assessment. Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field.0-3 years of experience in software development, preferably with a focus on image processing and computer vision. Strong programming skills in languages such as Python, C++, or Java. Knowledge of image processing, computer vision, and 3 D modeling concepts would be an advantage. Interest in virtual reality, augmented reality, and interactive technologies. Familiarity with user experience design principles and human-computer interaction. Excellent problem-solving abilities, attention to detail, and analytical thinking. Effective communication skills and ability to work collaboratively in a team environment. Additional Information Job Level Associate Publish Date22/01/2025 Job Ref. No. N/AJob Function Software Development Company Overview Hair Co Sys is formed by a team of passionate entrepreneurs and experienced data scientists. We believe that the commercialization of A. I. technology will free up humans to do what we do best and enhance our lifestyle. Our first mission is to solve hair loss problems through A. I.-haircare expert collaboration. Believing 'prevention is better than cure,' Hair Co Sys empowers everyone in different life stages with healthy hair by democratizing hair and scalp check-ups through powerful data analytics, easy-to-use mobile apps, and public education on the concept of hair loss prevention.#J-18808-Ljbffr


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