Hard Skills Requirements
Solid understanding of LLM fine- tuning, prompt engineering, and low- rank adaptation techniques (LoRA, QLoRA, etc.)
Ability to comprehend technical documents, scientific articles, and stay up- to- date with the State of The Art (SOTA).
Proficient in programming languages, especially Python (knowledge of C/C++ is an advantage), and capable of using frameworks such as Tensorflow, Keras, PyTorch.
Proficient use of Git, Docker.
Bachelor&039;s or Master&039;s degree in Computer Science or related fields.
Strong analytical and problem- solving skills.
Experience in model serving (using RayServe, Triton, TorchServe, etc.) and service integration and deployment is an advantage.
Experience with data organization systems: Database (Postgres, MySQL), Cache (Redis), Queue (RabbitMQ, Kafka) is an advantage.
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
Expertise in building, analyzing data, training, and optimizing NLP models.
Significant experience with Large Language Models (LLM) is a major advantage.
Soft Skills Requirements
Experience in model serving (using RayServe, Triton, TorchServe, etc.) and service integration and deployment 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.
Hands- on experience with building or integrating Agentic AI workflows using tool- augmented agents or function- calling
Significant experience with Large Language Models (LLM) is a major advantage.
Careful in work and considerate of customers.
Expertise in building, analyzing data, training, and optimizing NLP models.
Fluency in English and Chinese is an advantage.
Ability to comprehend technical documents, scientific articles, and stay up- to- date with the State of The Art (SOTA).
High enthusiasm and responsibility.
Good communication skills, proactive, flexible at work, collaborative, and friendly within the team.
Strong analytical and problem- solving skills.
Solid understanding of LLM fine- tuning, prompt engineering, and low- rank adaptation techniques (LoRA, QLoRA, etc.)
Proficient use of Git, Docker.
Experience with data organization systems: Database (Postgres, MySQL), Cache (Redis), Queue (RabbitMQ, Kafka) is an advantage.
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:
× Assessing the applicant&039;s suitability to select the appropriate candidate for the company&039;s current position.
× Contacting and notifying the applicant;
× Collecting personal data and selecting candidates for interviews;
