NLP Engineer (Pre-Senior / Senior)

Yêu Cầu Công Việc
Hard Skills Requirements:
Bachelor's or Master's degree in Computer Science or related fields.
At least 3 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.
Solid understanding of LLM fine-tuning, prompt engineering, and low-rank adaptation techniques (LoRA, QLoRA, etc.)
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.
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.
Proficient in programming languages, especially Python (knowledge of C/C++ is an advantage), and capable of using frameworks such as Tensorflow, Keras, PyTorch.
Solid understanding of LLM fine-tuning, prompt engineering, and low-rank adaptation techniques (LoRA, QLoRA, etc.)
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.
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.
Note:
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x Collecting personal data and selecting candidates for interviews;
x Contacting and notifying the applicant;
x Assessing the applicant's suitability to select the appropriate candidate for the company's current position.