Job Responsibilities:

•Collaborate closely with local ITs to oversee local use case migration roadmap to AI booster. 
•Quality assurance of local implementation code base according to software engineering best practices.
•Responsible for data quality standardization.
•Drive Google Cloud change management initiatives (Adaption of Google Cloud) during implementation.
•Collecting all data related impediments across markets for the successful implementation of commercial AI use cases.
•After Google Cloud transformation, the role will be transformed into Data Scientist/ML Engineer.
•Migration of existing models to AI Booster/Vertex AI.
•Hand-holding local Data Scientists to use AI booster as effectively as possible.
•Surfacing and compiling the major pain points across markets in the way of Use Case delivery.
•Leading data governance on behalf of Group Commercial.

Job Requirements:

•Minimum Bachelor’s or Master’s Degree in quantitative fields such as Maths, Statistics, Ops Research, Computer Science Engineering or Artificial Intelligence etc.
•Highly experienced in Google Cloud technologies (Google Certification preferred). 
•Strong Software Engineering skills.
•Migration of existing models to AI Booster/Vertex AI.
•Hand-holding local Data Scientists to use AI booster as effectively as possible.
•Surfacing and compiling the major pain points across markets in the way of Use Case delivery.
•Leading data governance on behalf of Group Commercial.