Job description
- Develop language processing applications.
- Analyze customer requirements to propose appropriate solutions.
- Analyze and visualize data to reveal hidden information.
- Analyze algorithms and give suggestions to improve algorithms.
- Built so the tool solves problems related to algorithm execution.
- Working at Da Nang office.
Your skills and experience
- Have good programming skills with Python (experience with C/C++ is a plus).
- Have good knowledge of Machine Learning algorithms and Neural network architectures (MLP, RNN, Attention, Transformer...)
- Have a lot of experience working with NLU problems (Sentence embedding, Sentiment analysis, NER, MRC...)
- Experience working with LLM is a plus (LoRA, Quantization, RAG…)
- Having experience in making Chatbot is a plus.
- Familiarity with MongoDB, Redis, vector databases is a plus.
- Familiarity with Fairseq and HuggingFace toolkits is a plus.
- Familiarity with Flask and FastAPI web frameworks is a plus.
- Familiarity with Docker and Kubernetes technologies is a plus.
- Have solid knowledge of linguistics.
- Have a solid foundation in statistics, linear algebra and algorithms.
- Ability to self-research and read papers to be able to come up with optimal algorithms.
- Have initiative in work, problem-solving mindset and good critical thinking.
Why you'll love working here
4 REASONS TO JOIN THE COMPANY
- Salary and bonus are worthy
- The World's Leading New Technology Application
- Opportunity to participate in the product development process and application of AI technology
- Professional, Dynamic, Youthful Environment
REMUNERATION
- Attractive salary & bonus worthy of work efficiency.
- Salary negotiable based on experience and qualifications.
- Performance evaluation: 2 times/year.
- Participate in full insurance: Social insurance, health insurance, unemployment insurance according to regulations.
- Leave days: 12 days/year (In addition to holidays according to the state calendar), team building...
- There is a policy to sponsor training courses to improve professional qualifications for employees and interns.
- Be trained and have access to the world's leading advanced technologies and tools.