ALUMNI SAY
Grace Z.
Field of Study: BSc in Computer Science
Job Secured: AI Project Executive
Gained from here: From this work experience I learnt how to face and solve problem independently, I gained some new technical skills helped built a primary website for the company , which is my first little project and nurtured valuable professional relationships with colleagues.
Most memorable experience: The most memorable aspect for me is the hands-on project of building a primary website for the company. This project stands out as it represents not only a significant learning opportunity but also a tangible achievement that I can showcase in your portfolio.
Influence on career pathway: This experience will likely influence the remainder of my course by reinforcing the importance of practical application of theoretical knowledge. It may also guide my choice of electives or specializations based on the skills and interests I've discovered during my time here at DAINVI.
Anaf A.
Field of Study: BSc in Computer Science
Job Secured: Computer Vision Full Stack Developer
Rate your experience: I really enjoyed working here and would rate it 9/10. I liked the workspace, the people, and the mentorship, which helped me bring out my best.
Gained from here: I learned to apply my coding and thinking skills to real-world projects, collaborate with diverse people, and work hard for project success.
Most memorable experience: A memorable moment was when our mentor organized a surprise birthday party for colleagues, fostering a friendly and enjoyable workplace.
Influence on career pathway: Networking with colleagues will benefit my future job searches and career growth. Experiencing a positive work environment has shaped my expectations and boosted my confidence for group projects in my academic course.
Zoe Y.
Field of Study: BEng in Intelligent Manufacturing Engineering
Job Secured: Computer Vision Machine Learning Research Engineer
Rate your experience: This work experience was highly beneficial. I learned things not covered in class, gained extra knowledge, and had the freedom to solve problems independently, communicating effectively with my team.
Gained from here: I learned to communicate with colleagues, understand work requirements, and enhance efficiency. I gained skills in expressing needs, presenting work concisely, and solving problems independently, boosting my confidence.
Most memorable experience: The most memorable challenge was understanding my work specifics. Initially unsure, I developed a solution with colleagues' help, teaching me the importance of communication and comprehension.
Influence on career pathway: Having worked here significantly impacted my coursework and career path. It improved my understanding of practical work, communication, problem-solving, and task management, clarifying my career goals and boosting my confidence.
Leo S.
Field of Study: BEng in Intelligent Manufacturing Engineering
Job Secured: Computer Vision Hardware Engineer
Rate your experience: This is a great experience where we can freely apply the knowledge we have learned to practical situations. The boss and colleagues are very friendly and have provided a lot of help in their work
Gained from here: I have gained a deeper understanding of point clouds and improved my programming and information gathering abilities. This work experience also helped me adapt to the pace of real work in advance.
Most memorable experience: What impressed me the most was that when I put the code into practical use, there were many problems that I hadn't thought of before. It was a bit difficult for me to solve them at that time, but after solving them, I felt a sense of achievement.
Influence on career pathway: I believe having worked at DAINVI has left a profound impression on my future career development. It has given me a deeper understanding of computer vision and enabled me to do better in my future work.
Ella N.
Field of Study: BBA in Information Management
Job Secured: AI Project Executive
Rate your experience: The work here was fulfilling and brought me personal and professional growth. I had ample room for development and received accurate feedback to drive my improvement.
Gained from here: I gained practical experience in project management, UI/UX design, and patent prosecution. This rare job opportunity significantly improved my computer, communication, and presentation skills.
Most memorable experience: The most memorable experience was managing a project from the start and becoming a patent inventor. This achievement was a career milestone.
Influence on career pathway: This experience made me step out of my comfort zone and gain practical knowledge. I realized the importance of improving my tech knowledge and presentation skills, and I plan to take more courses to prepare for my future career in tech.
OPEN POSITIONS
Computer Vision Machine Learning Research Engineer (Fresh Graduates are Welcome)
Hong Kong Science Park, Pak Shek Kok
Fixed term contract (Duration: 1-3 years)
HK$20,000 – HK$45,000 (The starting salary will be based on the candidate's qualifications and experience.)
Job Description
We are seeking a motivated Computer Vision Machine Learning Research Engineer to join our innovative team. In this role, you will be responsible for researching and developing cutting-edge machine learning algorithms for identifying and classifying specific features on object surfaces using computer vision techniques.
- Conduct pioneering research in the domain of computer vision, focusing on the development of novel machine learning algorithms for the precise identification and classification of intricate features on object surfaces.
- Test and evaluate the performance of machine learning algorithms to ensure accuracy and reliability.
- Collaborate with cross-functional teams to deploy machine learning solutions and integrate machine learning models into our automated systems.
- Maintain and optimize machine learning models for efficient and scalable deployment.
- Stay updated on the latest advancements in computer vision and machine learning, incorporating new knowledge to constantly refine and improve our research and development efforts.
Job Requirements
- Bachelor’s degree or above in STEM-related discipline, such as computer science, data science, or information engineering (Fresh graduates are welcome).
- Proficiency in programming languages such as Python, C++, or Java.
- Experience in developing machine learning models for computer vision applications (e.g., object detection, segmentation, classification).
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, OpenCV, FFMPEG).
- Strong understanding of machine learning algorithms, techniques, and best practices, such as deep learning, convolutional neural networks, transfer learning, or data augmentation.
- Exposure to cloud computing such as Google Cloud, AWS, or Azure, is a plus.
- Strong communication and interpersonal skills.
- Excellent teamwork skills, flexibility, and ability to handle multiple tasks.
- Confidence in and capable of learning new technologies.
- Strong problem-solving skills and the ability to innovate and think creatively.
Application Procedure
Interested parties are invited to send your CV and any relevant supporting documents to admin@dainvi.com. Kindly mention job title in the subject line.
Only shortlisted candidates will be contacted for interview. All personal data collected will be used for recruitment purposes only.
Computer Vision Robotics Research Engineer (Fresh Graduates are Welcome)
Hong Kong Science Park, Pak Shek Kok
Fixed term contract (Duration: 1-3 years)
HK$20,000 – HK$45,000 (The starting salary will be based on the candidate's qualifications and experience.)
Job Description
- Conduct research in control algorithms to enable the robotic arm to accurately pick up objects precisely and perform automated inspections.
- Develop applications to optimize the performance and usability of the robotic arm for automated inspection processes.
- Collaborate with cross-functional teams to integrate the robotic arm with automated inspection systems.
- Conduct testing and refinement to ensure the reliability and efficiency of the robotic arm system.
Job Requirements
- Bachelor’s degree or above in STEM-related discipline, such as robotics engineering, mechanical engineering, electrical engineering, or computer engineering (Fresh graduates are welcome).
- Proven experience in robotics system design, development, and implementation.
- Proficiency in robotics programming languages such as Python, Java, or C++.
- Solid experience in mobile application development (Android or iOS).
- Knowledge of robotic kinematics, dynamics, and control principles.
- Familiarity with computer vision and machine learning algorithms for object recognition is a plus.
- Strong communication and interpersonal skills.
- Excellent teamwork skills, flexibility, and ability to handle multiple tasks.
- Confidence in and capable of learning new technologies.
- Strong problem-solving skills and the ability to innovate and think creatively.
Application Procedure
Interested parties are invited to send your CV and any relevant supporting documents to admin@dainvi.com. Kindly mention job title in the subject line.
Only shortlisted candidates will be contacted for interview. All personal data collected will be used for recruitment purposes only.
Computer Vision Data Research Engineer (Fresh Graduates are Welcome)
Hong Kong Science Park, Pak Shek Kok
Fixed term contract (Duration: 1-3 years)
HK$20,000 – HK$45,000 (The starting salary will be based on the candidate's qualifications and experience.)
Job Description
- Conduct research in control algorithms to enable the robotic arm to accurately pick up objects precisely and perform automated inspections.
- Develop applications to optimize the performance and usability of the robotic arm for automated inspection processes.
- Collaborate with cross-functional teams to integrate the robotic arm with automated inspection systems.
- Conduct testing and refinement to ensure the reliability and efficiency of the robotic arm system.
Job Requirements
- Bachelor’s degree or above in STEM-related discipline, such as robotics engineering, mechanical engineering, electrical engineering, or computer engineering (Fresh graduates are welcome).
- Proven experience in robotics system design, development, and implementation.
- Proficiency in robotics programming languages such as Python, Java, or C++.
- Solid experience in mobile application development (Android or iOS).
- Knowledge of robotic kinematics, dynamics, and control principles.
- Familiarity with computer vision and machine learning algorithms for object recognition is a plus.
- Strong communication and interpersonal skills.
- Excellent teamwork skills, flexibility, and ability to handle multiple tasks.
- Confidence in and capable of learning new technologies.
- Strong problem-solving skills and the ability to innovate and think creatively.
Application Procedure
Interested parties are invited to send your CV and any relevant supporting documents to admin@dainvi.com. Kindly mention job title in the subject line.
Only shortlisted candidates will be contacted for interview. All personal data collected will be used for recruitment purposes only.
Computer Vision Hardware Research Engineer (Fresh Graduates are Welcome)
Hong Kong Science Park, Pak Shek Kok
Fixed term contract (Duration: 1-3 years)
HK$20,000 – HK$45,000 (The starting salary will be based on the candidate's qualifications and experience.)
Job Description
- Spearhead research initiatives to design and develop hardware solutions that optimize lighting conditions and camera settings, revolutionizing object capture efficiency in automated inspection processes.
- Engineer control systems for lighting mechanisms, ensuring the creation of ideal conditions for object inspection and enhancing the precision of automated capture processes.
- Collaborate with cross-functional teams to integrate lighting and camera control systems into automated inspection setups.
- Conduct testing and calibration to guarantee the accuracy and reliability of the hardware solutions.
- Stay updated on emerging technologies and best practices in hardware development for automation inspection applications.
Job Requirements
- Bachelor’s degree or above in STEM-related discipline, such as mechanical engineering or electrical engineering (Fresh graduates are welcome).
- Proven experience in hardware product design and development.
- Proficiency in hardware design tools and CAD software such as SolidWorks and Autodesk Fusion 360.
- Experience in mobile application development (Android or iOS).
- Knowledge of lighting control mechanisms and camera technologies.
- Familiarity with image processing techniques, computer vision and machine learning algorithms for object recognition.
- Experience in developing hardware solutions for automation or robotics applications.
- Strong understanding of industrial automation standards and protocols.
- Familiarity with computer vision and machine learning algorithms for object recognition is a plus.
- Exposure to cloud computing such as Google Cloud, AWS, or Azure, is a plus.
- Strong communication and interpersonal skills.
- Excellent teamwork skills, flexibility, and ability to handle multiple tasks.
- Confidence in and capable of learning new technologies.
- Strong problem-solving skills and the ability to innovate and think creatively.
Application Procedure
Interested parties are invited to send your CV and any relevant supporting documents to admin@dainvi.com. Kindly mention job title in the subject line.
Only shortlisted candidates will be contacted for interview. All personal data collected will be used for recruitment purposes only.