112 Generative AI jobs in Hong Kong

Responsibilities :

• Design, develop, and implement generative AI models (e.g., GANs, VAEs, transformers) for APAC projects and company products related to Digital Humans and Gen AI solutions.
• Partner with cross-functional AI, software development, and PMO teams to understand business needs and integrate Gen AI models into real-world applications.
• Conduct research to explore new techniques and methodologies in generative AI.
• Ensure successful deployment of models in production environments and monitor their performance for ongoing optimization.
• Experiment with datasets to optimize model performance and accuracy.
• Analyze results, troubleshoot issues, and refine models based on feedback.
• Document development processes, findings, and best practices for future reference.
• Stay updated with the latest advancements in generative AI and related fields.
• Participate in team meetings and contribute ideas for product development and improvement.

Requirements :

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• In-depth knowledge and hands-on experience in areas including but not limited to computer vision and neural networks, e.g., GANs, VAEs, ViTs, CNNs
• Experience with generative modeling techniques and frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages such as Python and familiarity with libraries.
• Understanding of deep learning architectures and their applications in generative tasks.
• Strong analytical skills and ability to work with large datasets.
• Excellent communication and teamwork skills.
• A proactive attitude and a passion for exploring new technologies in AI.

Overview

Senior Generative AI architectural Engineer role at Bank of China (Hong Kong).

• Conduct research on the latest developments in AI technology, evaluate and introduce suitable AI technologies and solutions, and drive the construction of AI platforms, services, and tools.
• Be responsible for the planning of generative AI (language models, multimodal generation) related architectural engineering and the design and maintenance of platform infrastructure.
• Conduct requirement analysis of generative AI application systems, evaluate the compatibility of system infrastructure resources, provide expert advice on function improvements and performance optimizations, and optimize the operation and maintenance processes of the AI platform and application systems.
• Support the analysis of AI application requirements and scenarios, promote the implementation of scenarios, empower business development, and support the Group's long-term planning and construction of digital operations.

• Bachelor's degree or above in Computer Science, Information Engineering, Statistics, Mathematics, Finance, Data Analysis, Business Intelligence or a related field.
• Over 8 years of work experience in AI and machine learning, with more than 3 years of experience in generative AI.
• Familiarity with common programming frameworks and tools in the areas of generative AI (language models, multimodal generation).
• Deep understanding of the basic concepts, processes, and methods of AI, especially in the theory of large models.
• Deep understanding and practical experience of language models based on Transformer architecture.
• Familiarity with open-source generative AI frameworks (such as LangChain, LangGraph, LangServe, LangSmith, xInference, etc.).
• Familiarity with fine-tuning methods for large language models like LoRA and p-tuning, RAG workflow orchestration, agent development experience, and embedding deployment.
• Experience with Transformer-based and vLLM deployment.
• Familiarity with Kubernetes frameworks and deployment experience.
• Excellent engineering practice skills, strong hands-on ability, and the capability to quickly execute demo experiments.
• Good language expression and communication skills, teamwork ability, and learning ability.
• Familiar with bank business and proficient in related business concepts. Those with innovative fintech experience are preferred.

We offer competitive remuneration package and comprehensive fringe benefits including medical and life insurance, and different types of allowances to the right candidates. Interested parties, please submit your application online. For details, please visit our website

Data collected would be used for recruitment purposes only. Applicants who do not hear from us within 8 weeks may consider their application unsuccessful and their data will be destroyed within 12 months of receipt.

Responsibilities:

• Conduct research on the latest developments in AI technology, evaluate and introduce suitable AI technologies and solutions, and drive the construction of AI platforms, services, and tools.
• Be responsible for the planning of generative AI (language models, multimodal generation) related architectural engineering and the design and maintenance of platform infrastructure.
• Conduct requirement analysis of generative AI application systems, evaluate the compatibility of system infrastructure resources, provide expert advice on function improvements and performance optimizations, and optimize the operation and maintenance processes of the AI platform and application systems.
• Support the analysis of AI application requirements and scenarios, promote the implementation of scenarios, empower business development, and support the Group's long-term planning and construction of digital operations.

Requirements:

• Bachelor's degree or above in Computer Science, Information Engineering, Statistics, Mathematics, Finance, Data Analysis, Business Intelligence or a related field.
• Over 8 years of work experience in AI and machine learning, with more than 3 years of experience in generative AI.
• Familiarity with common programming frameworks and tools in the areas of generative AI (language models, multimodal generation).
• Deep understanding of the basic concepts, processes, and methods of AI, especially in the theory of large models
• Deep understanding and practical experience of language models based on Transformer architecture.
• Familiarity with open-source generative AI frameworks (such as LangChain, LangGraph, LangServe, LangSmith, xInference, etc.).
• Familiarity with fine-tuning methods for large language models like Lora and p-tuning, RAG workflow orchestration, agent development experience, and embedding deployment.
• Experience with Transformer-based and vLLM deployment.
• Familiarity with Kubernetes frameworks and deployment experience.
• Excellent engineering practice skills, strong hands-on ability, and the capability to quickly execute demo experiments.
• Good language expression and communication skills, teamwork ability, and learning ability.
• Familiar with bank business and proficient in related business concepts. Those with innovative fintech experience are preferred.

Senior Generative AI architectural Engineer role at Bank of China (Hong Kong).

• Conduct research on the latest developments in AI technology, evaluate and introduce suitable AI technologies and solutions, and drive the construction of AI platforms, services, and tools.
• Be responsible for the planning of generative AI (language models, multimodal generation) related architectural engineering and the design and maintenance of platform infrastructure.
• Conduct requirement analysis of generative AI application systems, evaluate the compatibility of system infrastructure resources, provide expert advice on function improvements and performance optimizations, and optimize the operation and maintenance processes of the AI platform and application systems.
• Support the analysis of AI application requirements and scenarios, promote the implementation of scenarios, empower business development, and support the Group's long-term planning and construction of digital operations.

• Bachelor's degree or above in Computer Science, Information Engineering, Statistics, Mathematics, Finance, Data Analysis, Business Intelligence or a related field.
• Over 8 years of work experience in AI and machine learning, with more than 3 years of experience in generative AI.
• Familiarity with common programming frameworks and tools in the areas of generative AI (language models, multimodal generation).
• Deep understanding of the basic concepts, processes, and methods of AI, especially in the theory of large models.
• Deep understanding and practical experience of language models based on Transformer architecture.
• Familiarity with open-source generative AI frameworks (such as LangChain, LangGraph, LangServe, LangSmith, xInference, etc.).
• Familiarity with fine-tuning methods for large language models like LoRA and p-tuning, RAG workflow orchestration, agent development experience, and embedding deployment.
• Experience with Transformer-based and vLLM deployment.
• Familiarity with Kubernetes frameworks and deployment experience.
• Excellent engineering practice skills, strong hands-on ability, and the capability to quickly execute demo experiments.
• Good language expression and communication skills, teamwork ability, and learning ability.
• Familiar with bank business and proficient in related business concepts. Those with innovative fintech experience are preferred.

We offer competitive remuneration package and comprehensive fringe benefits including medical and life insurance, and different types of allowances to the right candidates. Interested parties, please submit your application online. For details, please visit our website

Data collected would be used for recruitment purposes only. Applicants who do not hear from us within 8 weeks may consider their application unsuccessful and their data will be destroyed within 12 months of receipt.

Project Description

• We are seeking a dynamic and experienced AI Developer who can lead by example and who possess strong technical skills, a quick-to-learn attitude, and see team management as a growth opportunity.

• Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the successful delivery of projects
• Lead the integration of LLMs and LangChain into business processes.
• Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
• Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives.
• Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.

• Min Bachelor's degree in Computer Science, Mathematics, Engineering, Statistics, or a related field.
• Python is a must, with at least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
• Proficiency in other applicable programming languages.
• Strong knowledge of machine learning, data mining, and predictive modeling.
• Excellent understanding of machine learning algorithms, processes, tools, and platforms.
• Possess strong problem-solving and strategic thinking abilities.
• Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches
• Agentic AI / Generative AI solution design and implementation
• Exceptional communication, documentation and presentation skills and stakeholder management experiences

• Knowledge of Agile

• Mid-Senior level

• Full-time

• Information Technology

• IT Services and IT Consulting and Investment Banking

Hong Kong, Hong Kong SAR

• We are seeking a dynamic and experienced AI Developer who can lead by example and who possess strong technical skills, a quick-to-learn attitude, and see team management as a growth opportunity.

• Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the successful delivery of projects
• Lead the integration of LLMs and LangChain into business processes.
• Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
• Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives.
• Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.

• Min Bachelor's degree in Computer Science, Mathematics, Engineering, Statistics, or a related field.
• Python is a must, with at least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
• Proficiency in other applicable programming languages.
• Strong knowledge of machine learning, data mining, and predictive modeling.
• Excellent understanding of machine learning algorithms, processes, tools, and platforms.
• Possess strong problem-solving and strategic thinking abilities.
• Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches
• Agentic AI / Generative AI solution design and implementation
• Exceptional communication, documentation and presentation skills and stakeholder management experiences

• Knowledge of Agile

• Mid-Senior level

• Full-time

• Information Technology

• IT Services and IT Consulting and Investment Banking

Hong Kong, Hong Kong SAR

AI Development Engineer

Job Description

1) Responsible for the optimization, expansion and product transformation of the company's climate/meteorological large model algorithms.

2) Responsible for data cleaning, training and inference acceleration of large models;

3) Design and maintain a local knowledge base to provide reliable knowledge support for the training and application of large models.

4) Implement the application of large models according to project requirements;

5) Collaborate with project members to solve technical challenges and propose innovative methods to improve the performance of deep learning models.

Preferred Skills and Knowledge

1) Master's degree or above in artificial intelligence/computer science/data science/software engineering or related fields.

2) Familiar with the principles of vector database storage and retrieval, and those with experience in design, distributed deployment and maintenance are preferred.

3) Have an AI technology background and be proficient in using frameworks such as TensorFlow/PyTorch.

4) Understand the principles of Transformer, Unet and other frameworks, have experience in data cleaning and preprocessing, and experience in the development, training, inference, fine-tuning, and deployment of large models will be preferred.

5) Proficient in C++/Python programming language, with good coding style and programming habits.

6) Have strong learning ability and teamwork spirit, and be able to collaborate effectively with colleagues.

7) Priority will be given to those with climate/meteorological large model architecture thinking.

工作類型: 全職

薪酬: $25.00至$35.00(每月)

福利:

• 有薪年假
• 有薪病假
• 育嬰假
• 晉升機會
• 產假

Work Location: 親身到場

Qualifications

• Education Background: Bachelor's degree in Computer Science or related field
• Industry Experience: 5+ years of experience in Python project development in the IT/Mobile Internet industry, with at least 1 year of experience in Python AI project development
• Fundamental Knowledge: Solid foundation in Computer Science and strong logical reasoning abilities

• Development Skills:

• Programming Language: Proficient in Python and commonly used official libraries

• Tools: Familiar with IDEs and toolchains for Python development and debugging, Linux system administration, log debugging and analysis, error troubleshooting
• Networking: Basic knowledge of networking, including network architectures and TCP/IP protocols
• Middleware: Experienced in the development of caching, message queuing, database connection pooling, log collection, configuration management, and service discovery
• Databases: Proficient in SQL, MySQL/PostgreSQL usage and development
• Containerization: Knowledgeable about containerization technologies such as Docker, Kubernetes (k8s), with practical project experience

• Data Analysis, Processing, and Visualization

• AI Skills:

• Knowledge of AI fundamentals: mathematical foundations, machine learning, deep learning

• Familiarity with AI-related development libraries: scientific computing libraries, visualization tools, machine/deep learning frameworks
• Understanding of the principles and application scenarios of AI technologies such as Natural Language Understanding, Stable Diffusion, MJ, and large language models

• Experience in participating in the complete development stage of open-source AI/AIGC related production-level projects

• Project categories include but are not limited to: virtual assistants, language processing, image processing, video processing, text processing, and audio processing

• Experience in using AI-assisted development to improve productivity in production practices

• Obtain Hong Kong Talent Admission Scheme (HK TAS) and Talents with Outstanding Abilities (TOA) status first.

Responsible for the complete development stage of AI/AIGC related products: research, design, development, fixing, iteration.

Job Description:

Are you passionate about AI and eager to dive into the world of cutting-edge deep learning technologies? We're looking for a Junior AI Development Engineer to join our team and help develop groundbreaking climate/meteorological large models. This is an exciting opportunity to kickstart your career, work with experienced professionals, and gain hands-on experience with AI innovation in a supportive and collaborative environment.

Key Responsibilities:

1. Assist in optimizing and expanding the company's climate/meteorological large model algorithms.

2. Support data cleaning, preprocessing, and training tasks to improve model performance and efficiency.

3. Help design and maintain a local knowledge base to support model training and applications.

4. Collaborate on deploying large models in various projects based on specific requirements.

5. Work with the team to solve technical challenges and contribute to improving deep learning model performance.

Preferred Skills and Experience:

1. Bachelor's degree (or higher) in Artificial Intelligence, Computer Science, Data Science, Software Engineering, or related fields.

2. Familiarity with AI frameworks such as TensorFlow or PyTorch, with a strong interest in learning more.

3. Basic understanding of Transformer, Unet, or similar frameworks, and some experience with data preprocessing or model training is a plus.

4. Knowledge of programming languages like Python or C++, with a focus on clean coding practices.

5. Strong curiosity to learn new technologies and solve problems creatively.

6. Great teamwork and collaboration skills, with a proactive and enthusiastic attitude.

7. Interest in climate or meteorological applications is a bonus but not required

工作類型: 全職

薪酬: $20.00至$30.00(每月)

福利:

• 有薪年假
• 有薪病假
• 育嬰假
• 晉升機會
• 產假

Work Location: 親身到場