- A minimum of 10-12 years of industry experience in Data, Analytics and AI engineering
- Experience in at least two of the following platforms: AWS, Bedrock
- Experience in Data Science implementation at scale. Ability to operationalise data science and AI solutions at scale through DataOps and MLOps. Hands-on experience with the development of data science algorithms and ability to show business value is required
- Experience in consulting and delivery of at least one end-to-end project to a client in Singapore, Malaysia or Hong Kong as a lead architect
- Understanding of the cloud ecosystem and leading emerging technologies in AI and Data Engineering, with demonstrated capabilities to deploy it successfully in practice
- Self-starter with the ability to work independently or as part of a project team of highly skilled technical resources