Senior Vision Ai Engineer

21 hours ago


Queenstown, Singapore Cynapse Full time

**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 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 a 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

Pay: $4,500.00 - $7,000.00 per month

**Benefits**:

- Health insurance

Schedule:

- Monday to Friday

Supplemental Pay:

- 13th month salary

Work Location: In person


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