- AIQ Pte Ltd
- Computer Vision / Deep Learning Engineer Internship
- Date Listed
- 12 Dec 2018
- Job Type
- Internship / Contract ( Entry Level / Junior Executive, Experienced / Senior Executive )
- Job Period
- Immediate Start, For At Least 3 Months
AIQ PTE. LTD. | Apex@Henderson, 201 Henderson Rd, #02-09 (The Carrot Patch), Singapore 159545
- Allowance /
- $800 - 1,000 monthly
- Others / General Work
- Information and Communications Technology
- Company Profile
AIQ is the seamless merger of Artificial Intelligence (AI) & Intelligence Quotient (IQ). The company aims to transform the way offline content is being consumed by bridging O2O (offline to online) media properties with its latest cutting-edge Carrot Visual Technology where various platforms and channels can be integrated, allowing seamless interaction between consumers and online & offline content. This technology empowers consumers with the ability to interact with their favourite brand’s products, anywhere, any time of the day.
At AIQ, we redefine the way brands engage with customers because we can.
- Job Description
Research/prototype a computer software to read text from images (scene text localization and recognition) based on deep learning.
Collaborate with computer vision/deep learning scientist to search a robust solution of reading text in commercial images or product objects.
Collaborate with team members from prototyping to production level.
Final year bachelor students / Master / PhD students in Computer Science, Computer Engineering and others.
Having knowledge of Computer Vision is compulsory.
Having knowledge of Deep Learning is plus.
Having passion on programming and is sufficiently competent on programming (such Python, Matlab, C++).
Having experience on deep learning frameworks/libraries is plus.
Having at least exposed experience with computer vision algorithms is compulsory.
Master student by coursework or research.
Benefits: You are going to love this job because you will
Work with a young startup to gain knowledge and experiences.
Experience on research/prototype a solution for a practical problem in company environment.