Digital AI Innovation Specialist
3 days ago
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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