Voice Processing Engineer
Hanoi- Location:
- Position:
- Job type:
- Required experience:
- Salary:
- Job categories:
- Expried:
- Hanoi
- Employee
- 5 years
- 50,000,000 - 100,000,000
- IT Software
- 31/12/2025
Welfare
- Attractive remuneration with competitive income and 6 months/year salaries/ efficient production and business.
- A welfare package of $2000 per year including Tet bonus, holiday bonus and resort.
- Being a colleague of a team of leading technology experts in fields such as: DPI, BigData, Machine Learning, AI, Data Mining, Speech Recognition, Virtual Assistant…
- Improve capacity through intensive training courses, study support and professional certification exams.
- Consider raising the minimum salary once a year. Access to attractive promotion opportunities.
- 12 days holiday, 12 vacation days and 3 annual vacation days.
- Always enjoy to the fullest full benefits of social insurance, health insurance, unemployment insurance and statutory leave and sick leave after signing the labor contract
- Join the comprehensive health care MIC insurance package.
- Relax, spark creativity with Happy Time every day, modern workspace.
- Enjoy a delicious lunch, selected by nutritionists.
- Working in key projects of the Group with large system scale.
- Experience the multiculturalism when working with Viettel's personnel in more than 10 countries.
Job descriptions
Work with scientists and engineers to design and implement NLP models that are usable in real-world applications;
Analyze, build, and research Research advanced and modern methods in the field of NLP;
Design and implement NLP-related applications such as text classification, emotion analysis, automatic conversation system .
Research and propose ideas to be able to write articles in prestigious magazines or conferences
Training knowledge and experience for the staff below .
Job requirements
PhD in NLP, Machine Learning or Computer Science abroad;
Proficiency in Python and deep learning frameworks like Pytorch or Tensorflow;
Experienced Experience in NLP techniques such as data preprocessing, named entity recognition, word segmentation, POS tagging, etc.
Experience in handling large amounts of textual data



