AI Software Engineer (Computer Vision) at CYNAPSE PTE LTD
Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

27 Nov, 25

Salary

8000.0

Posted On

28 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Keras, Data Science, Object Detection, Computer Science, Ml, Classification, C++

Industry

Computer Software/Engineering

Description

ABOUT CYNAPSE

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.
Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what’s possible with video intelligence.

JOB DESCRIPTION

We are seeking a talented and highly motivated AI Software Engineer (Computer Vision) to join our AI Product group 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.

MINIMUM QUALIFICATIONS:

  • At least a Bachelor’s Degree in Data Science, Computer Science, Engineering or similar
  • Some experience in developing Computer Vision applications, i.e. object detection & classification, object segmentation, computer vision algorithms, ML models optimization, etc.
  • Some Experience with ML/DNN in at least one of the following frameworks: Tensorflow, Caffé, Keras, PyTorch
  • Experience with C++ would be highly appreciated

How To Apply:

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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
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