Nlp Software Engineer

6 days ago

Singapore Shopee Full time

Department Engineering and Technology- LevelExperienced (Individual Contributor)- LocationSingaporeThe Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do. **About the Team**: - ** Develop and maintain chatbot services using large language model (LLM) technology, ensuring system stability and reliability.**: - ** Participate in requirements analysis, design, and implementation of technical solutions, and actively drive project delivery to production.**: - ** Collaborate with cross-functional teams to design and implement product requirements.**: - ** Write clear, maintainable, and efficient code.** **Requirements**: - ** Bachelor’s degree in Computer Science, Engineering, or a related field.**: - ** Strong technical skills, familiarity with the Linux environment, proficiency in Golang or Python, and familiarity with common components such as Redis, Kafka.**: - ** Understanding of basic machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).**: - ** Excellent problem-solving skills and attention to detail.**: - ** Strong communication and collaboration skills.**: - ** 2+ years of relevant work experience.**: - ** Experience in offline data production and familiarity with related development tools such as Spark, Hive.**: - ** Experience in developing large language models or chatbot systems.**: - ** Experience in deploying machine learning models in a production environment

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