Ai Scientist Intern

2 weeks ago


Singapore Pensees Systems Pte Ltd Full time
Company

Pensees Systems Pte Ltd

Designation

AI Scientist Intern (AI Cutting-edge Technology and Development)

Date Listed

27 Jun 2023

Job Type

Entry Level / Junior Executive

  • Intern/TS
Job Period

Flexible Start - Flexible End

Profession

IT / Information Technology

Industry

Artificial Intelligence / Smart Automation

Location Name

85 Science Park Drive, Singapore

Address

85 Science Park Dr, Singapore Science Park 1, Singapore 118259

Map

Allowance / Remuneration

$800 - 1,500 monthly

Company Profile


Pensees Systems Pte Ltd is an artificial intelligence company in Singapore that focuses on AI Technology and AI Solution development and deployment, including machine learning and deep learning, Computer Vision, AIGC (AI Generated Content), and IoT technology.

Taking deep learning-based computer vision technology as a breakthrough, Pensees has established deep roots in security and other vertical industries.

Recently Pensees tapping on their experience and known-how in AI content creation, multi-model learning, and SaaS platform development, is building the world leading AIGC platform

Job Description:

As an Intern in AI Development, you will be responsible to:

  • Be involved in data collection and annotation to set up training environment to train AI module with testing, may be involved in system integration as well

Internship Scope:


In the Internship, student is required to analyze the existing problems or requirements, develop or integrate AI modules in a system to achieve good performance with evaluation.

In this area, projects assigned could be in the following areas:

  • AI related areas: Computer vision(video analytics), Speech and NLP, Object Detection, Face Recognition, AIGC and digital media content creation with GAN/Stable Diffusion, 3D, and AR/VR

Job Requirements:

  • Proficient in Python programming and familiar with Pytorch and other platforms.
  • Interested or experienced in full development cycle from network streaming, video encoding/decoding, model inference, data management, micro service, etc.
  • Interested in AI model conversion, model porting, model optimization, pruning, knowledge distillation and quantization, using ONNX, TensorRT, ARM, Intel CPU, NVIDIA GPU, or embedded device
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