Responsibilities
• Build large-scale end-to-end machine learning systems for APAC projects and company products related to Digital Humans and Gen AI solutions.
• Partner with cross-functional AI, software development, and PMO teams to understand business needs and integrate language models into real-world applications.
• Design and implement large language models for tasks such as text/content generation, sentiment analysis, conversational systems, etc.
• Ensure successful deployment of models in production environments and monitor their performance for ongoing optimization.
• Manage and preprocess large datasets to train and evaluate LLMs effectively.
• Create and maintain thorough documentation of models, methodologies, and codebases.
• Fine‑tune models for improved accuracy and efficiency, ensuring scalability for production use.
• Explore and prototype new algorithms and techniques to enhance language models.
• Keep up‑to‑date with the latest advancements in LLMs and NLP to drive innovation.
Requirements
• Bachelor’s degree or above in Computer Science, AI, Data Science, or a related field.
• At least 3 years of experience in developing and deploying NLP models, particularly LLMs.
• Solid experience in facilitating the creation of engaging narratives, automated content generation, and chatbots.
• Proficiency in Python and experience with frameworks like TensorFlow or PyTorch.
• Familiarity with NLP libraries.
• Understanding of cloud services for model deployment and scaling. Experience in off‑line or on‑premises solution is a PLUS.
• Strong grasp of transformer architectures and NLP techniques.
• Excellent analytical and critical thinking skills.
• Experience with optimization techniques for large‑scale language models.
• Understanding of ethical AI practices and bias mitigation strategies.
• Proficient in English, Cantonese, and Chinese.
• Good understanding of deep generative models such as autoregressive models, GANs, VAEs, or flow‑based models is a big plus.
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