Our client is a leading company in the FinTech industry, driving innovation and providing cutting-edge financial solutions globally. As part of the firm continuous growth, they are seeking a talented and motivated AI Software Engineer in Large Language Models (LLM) and Generative AI to join the dynamic team.

As an AI Software Engineer, you will play a critical role in developing and optimizing advanced algorithms and models for natural language processing and generative AI within the software applications. You will collaborate with cross-functional teams of engineers and data scientists to design and implement state-of-the-art solutions that address complex challenges in the financial domain.

Responsibilities:
– Develop, optimize, and maintain large language models and generative AI algorithms to solve complex problems in the financial industry.
– Design and implement scalable and efficient deep learning architectures for natural language processing.
– Collaborate with data scientists and subject-matter experts to understand business requirements and translate them into technical solutions.
– Conduct regular model evaluations, diagnostic testing, and performance analysis to ensure the reliability and accuracy of the algorithms.
– Stay up-to-date with the latest advancements in large language models, generative AI, and related technologies to drive innovation within the team.
– Work closely with software engineers to integrate the developed models and algorithms into our existing software applications.
– Debug and troubleshoot issues related to the implemented AI solutions and provide timely resolutions.
– Effectively document code, methodologies, and processes to facilitate knowledge sharing and maintain well-organized project repositories.
– Collaborate and share insights with peers, mentor junior team members, and actively contribute to the continuous improvement of our engineering practices.

Qualifications:
– Bachelor’s or Master / PhD in Computer Science, Mathematics, or a related field.
– Solid foundation in machine learning, deep learning, and natural language processing techniques.
– Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks.
– Hands-on experience working with large language models, generative AI, and recurrent neural networks.
– Strong understanding of statistical modeling, data analysis, and visualization techniques.
– Excellent problem-solving skills with the ability to think creatively and propose innovative solutions.
– Effective communication in Chinese AND English, and collaboration skills to work effectively in a team-oriented environment.
– Experience in the FinTech industry or knowledge of financial concepts is a plus.
– Candidates with experience in the academic research areas would also be considered.

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