computer vision engineer (ai/ml) in Singapore

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job details

posted
location
singapore
specialism
information technology
job type
permanent
salary
S$ 8,000 - S$ 12,000 per month
reference number
90M0351815_1529664275
contact
sarah yang, randstad
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job description

about the company
Our client is setting up their innovation hub in Singapore, growing their technology team rapidly. They are within the digital media and live content streaming industry and have regional presence across more than 10 countries

They are looking for a research engineer specialised in Computer Vision to join their team.

about the role

  • Perform research in computer vision and deep learning.
  • Help to develop machine learning platform, including deep learning, image processing, etc
  • Research and explore novel computer vision and deep learning techniques for detecting objects in real time
  • Develop and implement state of art computer vision algorithms to build an in-house customisable image processing system
  • Collaborate with other teams to improve the system using more data

skills and experience required

  • M.S. degree in pattern recognition, computer vision, statistics or equivalent field
  • Fluency in programming languages such as C++ and/or Python, related data processing, machine learning and visualization libraries
  • Extensive experience in applying deep learning (image recognition/object detection techniques) to images or video data
  • Experience using deep learning frameworks like PyTorch, Caffe2, MXNet Tensorflow, etc
  • Practical experience in solving real-world machine learning problems, data science, statistics and analysis of large data sets
  • Knowledge on AWS / GCP platform services will be an advantage

To apply online please use the 'apply' function, alternatively you may send your CV to sarah.yang(@)randstad.com.sg or contact Sarah Yang at +65 6510 3633.

Referrals are greatly appreciated!

(EA: 94C3609/ R1657816)



skills

C/C++, Python, MATLAB, PyTorch, Tensorflow, Image recognition, Machine Learning, Deep Learning

qualification

M.S. degree of PhD in pattern recognition, computer vision, statistics or equivalent field

educational requirements

Master's Degree