Natural Language Processing (NLP) Engineer
Engineering NLP Docker Python Git
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Job Overview And Responsibility
We are seeking a highly skilled AI Engineer to join our dynamic team. The successful candidate will be responsible for developing and implementing Natural Language Processing (NLP) techniques for various applications such as essay scoring; pronunciation, grammar, lexical scoring; learning assistant; conversation AI; … and more, to enhance our AI-powered language learning products.
Required Skills and Experience
Hard Skills Requirements: - Bachelor’s or Master’s degree in Computer Science or related fields. - At least 2 years of experience in the field of Natural Language Processing (NLP). - Proficient in programming languages, especially Python (knowledge of C/C++ is an advantage), and capable of using frameworks such as Tensorflow, Keras, PyTorch. - Expertise in building, analyzing data, training, and optimizing NLP models. - Experience in model serving (using RayServe, Triton, TorchServe, etc.) and service integration and deployment is an advantage. - Significant experience with Large Language Models (LLM) is a major advantage. - Proficient use of Git, Docker. - Experience with data organization systems: Database (Postgres, MySQL), Cache (Redis), Queue (RabbitMQ, Kafka) is an advantage. - Ability to comprehend technical documents, scientific articles, and stay up-to-date with the State of The Art (SOTA). - Strong analytical and problem-solving skills. Soft Skills Requirements: - High enthusiasm and responsibility. - Good communication skills, proactive, flexible at work, collaborative, and friendly within the team. - Careful in work and considerate of customers. - Fluency in English and Chinese is an advantage.
Why Candidate should apply this position
- Salary: Up to 40 million VND. - Salary increases based on performance and contribution. - KPI bonuses. - Flexible working hours, a youthful and dynamic work environment. - Health insurance, team building activities, annual vacations.
Preferred skills and experiences
- - Prioritize candidate who can onboard asap
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