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