Fresher AI Engineer (local)

LinkedIn|AvePoint|Đà Nang, Da Nang City, Vietnam|4 Aug 2026
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JOB DESCRIPTION

Job Description

  • Participate in the development of neural network, machine learning, NLP, image processing and computer vision for company products such as chatbots, search engines, and data analysis systems.
  • Collect, clean, and prepare large-scale datasets for training AI models.
  • Research and apply machine learning, deep learning, and big data technologies to build and enhance AI solutions.
  • Evaluate model performance and propose optimization solutions.
  • Develop and maintain AI related functions and features using C# and Python.
  • Support other team members in projects and products implementation, particularly in integrating AI with big data technologies.
  • Leverage and integration with AI services in cloud platforms, such as Google, AWS, Azure. 


Requirements

  • Bachelor’s degree in computer science, information technology, data science, AI or a related field.
  • Experience with at least one framework or library (e.g., TensorFlow, PyTorch, YOLO) and one programming language (Python and C#).
  • Strong learning attitude, enthusiasm for research and a passion for exploring new AI technologies.
  • Good communication skills and ability to work effectively in a team.
  • Good English communication.

Preferred:

  • Experience participating in neural network, machine learning, NLP, image processing and computer vision related projects.
  • Experience working with distributed databases, vector database and big data storage solutions.


Work Location

  • Danang office: 2F Vinh Trung Plaza, No. 255-257 Hung Vuong, Thanh Khe, Da Nang


Benefits

  • 5-day workweek, off Saturday & Sunday.
  • Young & vibrant working environment with great career development opportunities.
  • Social insurance, medical insurance, and unemployment insurance are based on actual salary.
  • Review performance to adjust salary twice a year.
  • Regular team building events & internal activities (weekly happy hour, quarterly team building events, Lunar New Year parties, etc.).