Job description
This group traces its roots back to a payment app, which was established in 2004. Today, we are a world-leading internet open platform. Through technological innovation, we support our partners to enable inclusive,
convenient digital life and digital financial services for consumers and SMEs (small and micro-sized enterprises). We offer a wide range of digital financial services, including digital payments and digital banking.
We are looking for self-motivated AI engineers to join our International Business Group. With high standards, we comply with data security and privacy protection. Our AI team is leveraging privacy-preserving computation technologies such as federated learning in an increasing range of business scenarios. We aim to establish a shared, collaborative, and mutually beneficial ecosystem with regulatory bodies and institutions from various countries as we continue to unleash the value of data by AI.
Responsibilities
- Research, develop, and implement state-of-the-art techniques in the field of Large Language Models (LLM) and Generative AI.
- Collaborate with cross-functional teams to design and execute projects that leverage LLMs for various applications, including but not limited to text generation, summarization, translation etc.
- Stay up-to-date with the latest advancements in AI, machine learning, and generative models, and apply this knowledge to enhance existing models and methodologies.
- Analyze and fine-tune model performance through experimentation, iteration, and data-driven insights.
- Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and continuous learning.
- Contribute to research publications, whitepapers, and presentations to showcase the organization's expertise in the field.
- Collaborate with product teams to integrate AI solutions into real-world applications and platforms.
Job Requirement
- Master's in Computer Science, Artificial Intelligence, or a related field.
- PhD is nice to have.
- 5+ years experience in AI-relevant fields, such as machine learning, deep learning, large language models or computer vision.
- Strong understanding of generative models, deep learning, natural language processing or computer vision techniques.
- Proficiency in programming languages such as Python.
- Familiar with deep learning frameworks like TensorFlow or PyTorch.
- Demonstrated ability to drive research projects from ideation to implementation, producing tangible outcomes.
- Excellent problem-solving skills and a creative mindset to address complex AI challenges.
- Strong communication skills to effectively collaborate with both technical and non-technical stakeholders.
- Published research papers or contributions to the AI community would be a significant plus.
- Experience with deploying AI models into production environments is desirable.
- Experience with testing and evaluation of AI systems, explainable AI, or AI fairness and bias assessment is nice to have.
- Proficiency in English and Mandarin in order to communicate with our Mandarin-speaking stakeholders.