Applied AI Research Engineer & Fellow

Singapore Institute of Technology

Singapore

On-site

SGD 80,000 - 110,000

Full time

14 days+
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Job summary

The Singapore Institute of Technology is looking for a Research Engineer/Fellow specializing in Applied Artificial Intelligence (AI). This position requires collaboration with stakeholders to drive AI solutions across various sectors, focusing on areas such as healthcare, manufacturing, and urban systems.

Ideal candidates will have a Bachelor's or Master's degree in Computer Science or Engineering, combined with deep expertise in deploying AI technologies in real-world applications. 8+ years of experience in machine learning roles is preferred. A proactive approach to problem-solving and software solution development is essential for success.

Qualifications

  • Bachelor's or Master's in a relevant field.
  • 8+ years experience for Machine Learning Engineer or 1-3 years for Research Engineer.
  • Experience with AI/ML research/application.

Responsibilities

  • Support or drive applied research and innovation initiatives.
  • Deliver impact and revenue for industry partners.
  • Help create proposals based on industry requirements.

Skills

Computer Vision and Image Processing
Machine Learning
Deep Learning
Reinforcement Learning
Generative AI
Trustworthy AI
Physics-informed neural networks
Time-series modelling
Graph Neural Networks
Digital twins

Education

Bachelor’s degree in Computer Science
Master’s degree in relevant discipline

Tools

TensorFlow
PyTorch
Keras
Apache Hadoop
Spark ML

Job description

The Singapore Institute of Technology is looking for a Research Engineer/Fellow specializing in Applied Artificial Intelligence (AI). This position requires collaboration with stakeholders to drive AI solutions across various sectors, focusing on areas such as healthcare, manufacturing, and urban systems.

Ideal candidates will have a Bachelor's or Master's degree in Computer Science or Engineering, combined with deep expertise in deploying AI technologies in real-world applications. 8+ years of experience in machine learning roles is preferred. A proactive approach to problem-solving and software solution development is essential for success.

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