Natural Language Processing (NLP) Engineer

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.