Responsibilities:

• Collaborate with data scientists, data engineers, developers, operators (DevOps, DataOps, MLOps) and business unit executives to identify and develop pilot AI use cases
• Gather requirements from multiple stakeholders (business users, data scientists, security professionals, data analysts, operators) and develop the necessary processes and products in the technical implementation
• Define the AI architecture and recommend appropriate technologies from a pool of open-source and commercial offerings. Propose cloud, on-premises or hybrid deployment models, and ensure new tools are well-integrated with existing platforms and tools
• Audit AI tools and practices across data, models and software engineering with a focus on continuous improvement. Ensure a feedback mechanism to assess AI services, support model recalibration and retrain models
• Work closely with the client’s security and compliance leaders to foresee and mitigate risks, such as training data poisoning, AI model theft and adversarial samples, ensuring ethical AI implementation and restoring trust in the client’s AI Platform. Remain acquainted with upcoming regulations and best practices and recommend refinements to the client’s processes and technology adoption

Requirements:

• Degree in Engineering discipline, preferably Master of Engineering or Science, or equivalence
• 5+ years’ experience in development of AI and machine learning projects
• Proven records in AI projects
• Proficiency in 2 or more AI domains, including business intelligence, customer data analytics, computer vision and natural language processing
• Experience in algorithm design and implementation
• Proficiency in most of the following machine learning libraries: Pandas, Scikit-Learn, TensorFlow, PyTorch, OpenAI, HuggingFace, OpenCV
• Proficiency in at least one programming language among Java, C++, C#, Python, JavaScript and TypeScript
• Experience in full stack development
• Good communication skill in both spoken and written English and Chinese
• Familiar with DevOps, DataOps and MLOps processes will be advantage
• Experience in designing cloud or hybrid cloud solutions using AWS, Azure or GCP will be advantage

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***Permanent Hong Kong Resident is preferred. Expected Salary in CV is needed for consideration***

All information provided will be treated in strict confidence and used solely for recruitment purposes. The resume will be retained for a period of two years for future recruitment purposes within our group and clients