Senior Vision Ai Engineer
1 day ago
**About Cynapse**
Cynapse is an awarded AI Software Product company specializing in Enterprise-grade Vision AI in highly challenging environments. cynapse’s software platform is leveraging cutting-edge cloud/on-premise/edge platforms, advanced computer vision algorithms, advanced ML concepts & models, and more.
The company's Headquarter is located in Singapore (one-north Area)
Cynapse is looking for a talented and highly motivated Computer Vision & Machine Learning Developer to join our AI team that delivers challenging, enterprise-scale Video Content Analytics solutions to global customers. You will conform to high standards of design and coding, working in a cutting-edge, dynamic and professionally challenging environment.
**Responsibilities**
- Develop advanced video/image analytics technologies using both Computer Vision Algorithms and advanced ML/DNN
- Research technologies and concepts in the areas of Machine Learning, Computer Vision and Edge AI
- Participate in system design activities, prototyping and testing
- Follow and contribute to software development best practices
**Qualifications**
- At least a Bachelor’s Degree in Data Science, Computer Science, Engineering or similar
- Experience with ML/DNN in at least one of the following frameworks: TensorRT, Tensorflow, Keras, PyTorch
- At least 2 years of experience with C++
**Personal Competencies**
- Innovative, motivated and a quick learner
- Ability to work well in a small team and take end-to-end ownership of problems and their resolution
- Attention to detail, curiosity, and passion for technology
**Benefits**
- Competitive base salary and a generous stock option package
- Unique opportunity to work with a talented global team on cutting-edge technologies
- informal and exciting work environment with flexible hours**Job Type**: Full-time
**Benefits**:
- Health insurance
**Schedule**:
- Monday to Friday
**Supplemental Pay**:
- 13th-month salary
**Experience**:
- Computer vision: 3 years (required)
**Work Location**: In person
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