About Cynapse
Cynapse is an awarded AI Software Product company specializing in Enterprise-grade Vision AI in highly challenging environments. Our software platform is leveraging cutting edge cloud/on-premise/edge platforms, advanced computer vision algos, advanced ML concepts & models and more.
The company is led by globally renowned experts who previously headed large groups at Microsoft and Intel. The company HQ is located in Singapore (One North Area) and operates in over 10 countries
Objectives:
As part of your role you will:
- Work with end customers and our R&D team to define business challenges that require the use of various ML/DNN & Computer Vision Algorithmic techniques
- Analyze large sets of Visual (images and videos) and Sensor data and train machine learning models using commercial tools like Tensorflow and PyTorch for detection, classification, tracking, behavioral analysis, anomaly detection and much more. These models will then be used to derive actionable outcomes for business problems.
- Gather customers feedback and improve existing ML models and algorithms.
- Write code (Python/C++) to prepare, use, enhance and test models.
- Research public ML models and data sets
Qualifications:
- Completed at least 1 year of studies as part of a Diploma/Bachelor/Master in one of the the following subjects : IT/Engineering/Computer Science/Information Systems/Statistics/Mathematics
- At least 3 months experience in Python programming
- Completed at least 1 Uni/Online hands-on course in Machine Learning
- Experience with one or more ML tools such as Tensorflow, PyTorch etc.
- Analytical Thinking
- Bonus Area: Understanding Computer Vision (i.e. some experience with OpenCV)
Duration- Available for at least a 6 months internship. Able to work at least 4 days a week and preferably full-time. we are flexible with start and end dates and allow flexibility to accommodate exams. leave etc.
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- Company:
Cynapse Pte Ltd - Designation:
Vision AI (Computer Vision & ML) Intern - Profession:
IT / Information Technology - Industry:
Computer and IT - Location:
Queenstown