Job Description

• 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

Candidate 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

Interest

• Professional work environment:
  • Friendly and open working environment; working with international team members and 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 a 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: 8:30 a.m. - 6:00 p.m. Monday to Friday