Michael Page International (HK) Ltd
AI Engineer - Michael Page
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Hong Kong
Work mode:
Onsite
Published on:
31 August 2026
What they need
- Develop AI solutions to solve business challenges and drive value.
- Lead AI projects from concept to deployment and optimization.
About Our Client
The hiring company is a large organization in the financial services industry, known for its focus on innovation and data-driven solutions. With a strong presence in Kowloon, the company offers a collaborative environment and opportunities to work on impactful projects.
Job Description
As an AI Engineer, your main responsibilities will include:
- Designing and developing AI models and algorithms to support analytics initiatives.
- Collaborating with the analytics team to identify and solve complex data challenges.
- Implementing machine learning techniques to improve decision-making processes.
- Conducting data preprocessing, feature engineering, and model evaluation.
- Maintaining and optimising AI models for performance and scalability.
- Documenting workflows and presenting findings to relevant stakeholders.
- Ensuring compliance with data security and privacy regulations.
- Staying updated on advancements in AI technologies and methodologies.
The Successful Applicant
A successful AI Engineer should have:
- A strong background in AI, machine learning, or data science.
- Proficiency in programming languages such as Python or R.
- Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch).
- Knowledge of data analytics and statistical modelling techniques.
- Familiarity with cloud platforms and big data tools.
- A proactive approach to problem-solving and innovation.
- Mandarin or Cantonese speaking is a must.
What's on Offer
- Competitive monthly salary.
- Opportunities to work within the financial services industry, driving innovation in AI.
- A collaborative and forward-thinking company culture.
If you are passionate about building AI solutions, developing machine learning models, and deploying innovative technologies at scale, we encourage you to apply and help shape the future of AI in financial services.
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