Digital AI Innovation Specialist

3 days ago


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

At Pantheon Lab Limited, we are dedicated to pioneering innovative digital human technologies and advanced digital assistant solutions. As a Generative AI Developer, you will play a pivotal role in building large-scale end-to-end machine learning systems for APAC projects and company products related to Digital Humans and Gen AI solutions.

Responsibilities:
  • 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.
  • Stay 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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