Machine Learning Engineer

Vincere; Hong Kong; On-site; HKD 670,000 - 893,000; Full time

Job summary

Vincere in Hong Kong is seeking an experienced ML Engineer to lead AI initiatives and build scalable, production-ready solutions. The role emphasizes collaboration with stakeholders, architecture design, and secure deployment in production environments.

You will work with backend systems, leverage Python, and enjoy a frontend language bonus like TypeScript. Cantonese and English proficiency are advantageous in the HK setting.

Qualifications

• Degree in computer science, engineering, information systems, or related discipline.
• 5+ years in solution delivery roles.
• Hands-on software or AI engineering, backend-focused.
• Proficient in Python; TypeScript is a plus.
• Familiar with LangChain and MCP/A2A protocols.
• Experience with APIs, data stores and at least one cloud platform.
• Knowledge of LLMs, retrieval-augmented generation or agent patterns.
• Production implementation experience is a plus.
• Cantonese and English advantageous in the HK environment.

Responsibilities

• Define problems, priorities and success measures with business stakeholders.
• Translate requirements into solution design covering options, architecture, build-versus-buy, risks and delivery path.
• Develop, integrate and test solutions from prototype through pilot to production support.
• Implement AI-enabled workflows where justified by the use case.
• Apply AI-assisted development tools while maintaining security and ops standards.
• Present designs and trade-offs to non-technical stakeholders and coordinate with IT and vendors.
• Document reusable patterns and feed implementation lessons into subsequent engagements.

Job description

TBD 841 ML Engineer 62K

Responsibilities

• Work with business stakeholders to define problems, priorities and success measures for AI and systems initiatives.
• Translate requirements into a solution design covering options, architecture, build-versus-buy, risks and a practical delivery path.
• Develop, integrate and test solutions in the operating environment, from prototype through pilot and handover to production support.
• Implement AI-enabled workflows (including agents, retrieval and automation) where they are justified by the use case.
• Apply AI-assisted development tools to accelerate delivery while maintaining review, security and operational standards.
• Present designs and trade-offs to non-technical stakeholders and coordinate with IT and vendors on access, constraints and handover.
• Document reusable patterns and feed implementation lessons into subsequent engagements.

Qualifications/Requirements

• Degree in computer science, engineering, information systems, or a related discipline.
• 5+ year of experience working in solution delivery role
• Hands-on software or AI engineering experience, mainly backend but font-end experience are appreciated
• Ability to communicate with business stakeholders and to develop working solution. Python is expected; TypeScript or a similar language is useful.
• Ability to design solutions under constraints of systems, data, security and time, and to adjust the design based on implementation findings.
• Familiar with AI framework such as LangChain and protocols such as MCP, A2A..etc
• Working knowledge of APIs, data stores and at least one cloud platform. Experience with large language models, retrieval-augmented generation or agent patterns is useful. Production implementation experience is an advantage.
• Experience with AI-assisted development or rapid prototyping is an advantage.
• Cantonese and English are an advantage in the Hong Kong operating environment.