The Role
The AI Specialist will develop and implement AI/ML solutions, ensuring data quality, conducting research, customizing AI tools, and collaborating with IT teams. They will also create documentation and stay updated on industry trends.
Summary Generated by Built In
- Conduct data collection, cleaning, and feature engineering
- Establish data pipelines and ensure data quality and governance compliance
- Research, prototype, and implement machine learning and deep learning models
- Customize off-the-shelf or open-source AI tools (e.g. Azure ML, Hugging Face, Watsonx, Dify) for business needs
- Perform rigorous validation, hyper-parameter tuning, and bias/error analysis
- Collaborate with IT teams to containerize models, build APIs, and integrate AI services into the company’s technology stack, adhering to CI/CD best practices
- Implement monitoring frameworks to track model performance, drift, and resource utilization
- Continuously refine models to maintain accuracy, efficiency, and compliance with governance policies
- Create technical documentation, run workshops, and support internal teams in understanding and leveraging AI tools
- Contribute to the development of AI standards and playbooks
- Stay current with academic research and industry trends
- Pilot cutting-edge AI techniques and recommend their adoption where they deliver clear business value
- Perform other duties as assigned by supervisor(s)
Requirements
- University degree preferably in Information Technology, Computer Science Fintech, Artificial Intelligence, or related disciplines
- At least 3 years of hands-on experience in machine learning, data science, or AI engineering roles, preferably within enterprise environments
- Portfolio of deployed models (GitHub, case studies)
- Proficiency in Python or R, machine learning frameworks and libraries (TensorFlow, PyTorch, scikit-learn), SQL, and experience with cloud AI/ML services (AWS, Azure, GCP) and MLOps (Docker, Kubernetes, MLflow)
- Strong problem-solving skills, statistical knowledge, and familiarity with data governance and ethical AI considerations
- Effective communicator capable of translating technical details into business-relevant insights
- Good command of written and spoken English and Chinese, with proficiency in Putonghua is an advantage
Skills Required
- University degree in Information Technology, Computer Science, Fintech, Artificial Intelligence, or related disciplines
- At least 3 years of hands-on experience in machine learning, data science, or AI engineering roles
- Portfolio of deployed models (GitHub, case studies)
- Proficiency in Python or R, machine learning frameworks and libraries
- Strong problem-solving skills, statistical knowledge, and familiarity with data governance and ethical AI
- Effective communicator capable of translating technical details into business-relevant insights
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The Company
What We Do
Teki'Spire Limited is an executive search and recruitment firm specializing in Technology, Data & Digital roles, covering functions such as Digital, Big Data, Business Intelligence, Application Development, and Project Management.
