The Supervisor of AI Transformation at Wynn Resorts (Macau) S.A. plays a hands-on leadership role in the development and maintenance of AI models. This position is responsible for ensuring technical excellence, reproducibility, and compliance across AI workflows, while guiding engineering efforts and contributing to the customization of foundational models using proprietary data.

The supervisor leads code reviews, oversees model lifecycle operations, and collaborates with IT internal teams to manage containerized environments. This role is critical to maintaining the integrity and performance of AI systems and ensuring that technical deliverables meet enterprise standards.

• Support the development and implementation of AI transformation roadmaps.
• Manage AI model registry and manage version control.
• Implement optimization strategies to enhance the performance and scalability of AI models.
• Adapt and fine-tune foundational models with proprietary company data to increase accuracy and relevance.
• Ensure all AI solutions adhere to internal governance standards and comply with external regulations.
• Work closely with cross-functional teams to identify potential AI use cases and evaluate their feasibility.
• Coordinate with the team to align UI designs with operational requirements and enhance user experience.
• Stay updated about emerging trends and developments in AI technologies.
• Propose enhancements to current processes through the use of AI and automation.
• Lead workshops and training sessions to promote AI literacy across various departments.

Degree in Computer Science, Data Science, Business, or related field

Proficient written and spoken communication skills in English, Cantonese and Mandarin.

Experience and skills:

Minimum 3+ years of experience in AI/Digital transformation, AI/ML projects.

Minimum 4+ years of experience in software development, or related field.

Experienced in digital transformation, process improvement, technology implementation, and engaging stakeholders.

Advance programming experience with HTML, CSS, JSP, JavaScript, Java, Python, SQL, API (JSON/RESTful), etc.

Strong analytical, communication, and stakeholder management skills.

Design, develop, and implement integration between automation tools and application.

High ethical standards, level of commitment and ability to cope with complexity and change.

Self-motivated and be able to lead team members.

Familiarity with AI technologies such as LLM, RAG, ASR/TTS, natural language processing, and intelligent automation.

Experience with agile methodologies and proficiency in the following digital tools are considered advantageous (ML frameworks, Container orchestration tools, Digital workflows, RPA platforms)