* Technical expertise with data models, data mining, and segmentation techniques. Previous experience as a data engineer or in a similar role.
* Experience with deploying machine learning models to production environment. Experience with object-oriented/object function scripting using Python
* Experience with relational SQL and NoSQL databases
* Ability to interact and communicate with the data scientists to understand their data needs.
* Experience with MLOps Architectures and Tools
* PySpark, Scala, Hadoop, Kafka, SAS (Ideal to have)
* Degree in Computer Science, IT, or similar field
* Receiving handover of the existing Feature Repository from Region and establishing a framework and environment where it can be run locally onshore.
* Validating, Deploying and maintaining existing feature repository so it can be leveraged by machine learning models.
* Working with the data scientists in the team to understand what features they would like to include in their ML models.
* Data mining and discovery to create the new features which can be leveraged by the data scientists in their ML models.
* Deployment of any new models built by the data scientists into the production environment.
* Maintaining the data quality, reliability and accuracy of any features deployed into production on an ongoing basis.
* Help setup data tools and data pipelines for analytics and data scientist team members that assist them in model development
* Work with reporting team to understand the requirement from reporting perspective and accordingly maintain and enhance data layer