Hard Skills Requirements
Ability to comprehend technical documents, scientific articles, and stay up- to- date with the State of The Art (SOTA).
Expertise in building, analyzing data, training, and optimizing NLP models.
Experience with data organization systems: Database (Postgres, MySQL), Cache (Redis), Queue (RabbitMQ, Kafka) is an advantage.
Proficient use of Git, Docker.
Proficient in programming languages, especially Python (knowledge of C/C++ is an advantage), and capable of using frameworks such as Tensorflow, Keras, PyTorch.
Bachelor&039;s or Master&039;s degree in Computer Science or related fields.
At least 3 years of experience in the field of Natural Language Processing (NLP).
Hands- on experience with building or integrating Agentic AI workflows using tool- augmented agents or function- calling
Experience in model serving (using RayServe, Triton, TorchServe, etc.) and service integration and deployment is an advantage.
Strong analytical and problem- solving skills.
Significant experience with Large Language Models (LLM) is a major advantage.
Solid understanding of LLM fine- tuning, prompt engineering, and low- rank adaptation techniques (LoRA, QLoRA, etc.)
Soft Skills Requirements
Proficient use of Git, Docker.
Good communication skills, proactive, flexible at work, collaborative, and friendly within the team.
Fluency in English and Chinese is an advantage.
Proficient in programming languages, especially Python (knowledge of C/C++ is an advantage), and capable of using frameworks such as Tensorflow, Keras, PyTorch.
Strong analytical and problem- solving skills.
Significant experience with Large Language Models (LLM) is a major advantage.
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.
High enthusiasm and responsibility.
Careful in work and considerate of customers.
Hands- on experience with building or integrating Agentic AI workflows using tool- augmented agents or function- calling
Ability to comprehend technical documents, scientific articles, and stay up- to- date with the State of The Art (SOTA).
Experience with data organization systems: Database (Postgres, MySQL), Cache (Redis), Queue (RabbitMQ, Kafka) is an advantage.
Solid understanding of LLM fine- tuning, prompt engineering, and low- rank adaptation techniques (LoRA, QLoRA, etc.)
Note:
By submitting a CV/Resume, along with the information provided by the applicant, and any exchanges during the interview process with Prep (if applicable), the applicant AGREES to Prep&039;s Privacy Policy and the handling of personal data, which is established and issued in accordance with Decree No. 13/2023/NĐ- CP on personal data protection. Additionally, the applicant agrees to allow Prep to collect and store
the information provided for the following purposes:
× Contacting and notifying the applicant;
× Collecting personal data and selecting candidates for interviews;
× Assessing the applicant&039;s suitability to select the appropriate candidate for the company&039;s current position.
