Advanced Language Model Engineer

2 days ago


Hong Kong, Central and Western District, Hong Kong SAR China Pantheon Lab Limited Full time

Are you passionate about pushing the boundaries of Generative AI? Do you want to work with a talented team of innovators at Pantheon Lab Limited? As a Advanced Language Model Engineer, you will play a key role in shaping the future of digital human technologies and advanced digital assistant solutions.

Key Responsibilities:
  • Developing and deploying large-scale end-to-end machine learning systems for APAC projects and company products.
  • Collaborating with cross-functional teams to understand business needs and integrate language models.
  • Designing and implementing large language models for tasks such as text generation, sentiment analysis, and conversational systems.
  • Ensuring successful deployment of models in production environments and ongoing optimization.
  • Managing and preprocessing large datasets for effective training and evaluation of LLMs.
  • Creating and maintaining thorough documentation of models, methodologies, and codebases.
  • Fine-tuning models for improved accuracy and efficiency.
  • Exploring and prototyping new algorithms and techniques to enhance language models.
  • Staying up-to-date with the latest advancements in LLMs and NLP.

Your Qualifications:

  • 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 creating engaging narratives, automated content generation, and chatbots.
  • Proficiency in Python and experience with frameworks like TensorFlow or PyTorch.
  • Familiarity with NLP libraries.
  • Cloud services knowledge for model deployment and scaling.
  • Transformer architectures and NLP techniques expertise.
  • Analytical and critical thinking skills.
  • Optimization techniques for large-scale language models experience.
  • Ethical AI practices and bias mitigation strategies understanding.
  • Language proficiency in English, Cantonese, and Chinese.
  • Deep generative models understanding (autoregressive models, GANs, VAEs, or flow-based models).


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