Fresher AI Engineer

VO THI HONG NGOC -

General information

  • Quantity: 02
  • Report: AI Lead
  • Location office: Suite 401, Floor 4th, C+ Office Building, No. 28 Thanh Thai Str., Cau Giay Dist., Hanoi, Vietnam
  • Contact: Tuyendung@investidea.tech/0975 935 422 (Ms Ngoc)

Bring Ideas to Life - Turning smart ideas into amazing products are our main focus. We support all majors from software development including product consulting, working process, infrastructure, and technical solutions to software development.

For more information, please visit www.investidea.tech
3HAG roadmap, please refer https://investidea.tech/blog/our-ai-led-growth-journey-2024-2026/

Responsibilities:

  • Improve data curation process for large scale and high-quality datasets
  • Participate in building and training foundation and generative models that are optimized for performance and latency (focusing in Machine Learning, Computer Vision and Generative AI)
  • Participate in applying LLM models into real business cases

Requirements:

  • A Graduate degree in Computer Science, Data Scientist, Statistics, Informatics, Information Systems or another quantitative field.
  • Strong experience with Python and software engineering best practices
  • Willing to take on more challenges and responsibilities
  • Responsible for self-development.
  • Having Knowledge in Python, R, or Java is an advantage
  • Having Knowledge in machine learning algorithms, deep learning frameworks, and natural language processing (NLP) techniques is an advantage
  • Having Knowledge in Agile Scrum is an advantage
  • Having Knowledge AI development tools such as TensorFlow, PyTorch, or scikit-learn is an advantage
  • Having Knowledge in machine learning frameworks and models such as PyTorch, TensorFlow, GPT, CNNs, and generative models is a plus
  • Good English Communication skills

Benefits

  • Professional work environment:
  • Friendly and open working environment; work with international team members, partners,...
  • Flexible working time and remote work policy
  • Team-building activities: 1-2 company trips/year, not count on working days
  • Career development opportunities:
  • Certification support with minimum 50% of learning + certification fee for employees
  • Reward / recognition: Tech challenge of the year / Project of the year / Member of the year (and more)
  • Compensations:
  • Competitive & attractive salary with bonus (Reference bonus, End year bonus)
  • Checkpoint every 6 months
  • Tea-break
  • Working time: 8h30 -18h Monday to Friday