Job Description

n
Technical expertise with data models, data mining, and segmentation techniques. Previous experience as a data engineer or in a similar role.
n
Experience with deploying machine learning models to production environment. Experience with object-oriented/object function scripting using Python
n
Experience with relational SQL and NoSQL databases
n
Ability to interact and communicate with the data scientists to understand their data needs.
n
Experience with MLOps Architectures and Tools
n
PySpark, Scala, Hadoop, Kafka, SAS (Ideal to have)
n
Degree in Computer Science, IT, or similar field
n
Receiving handover of the existing Feature Repository from Region and establishing a framework and environment where it can be run locally onshore.
n
Validating, Deploying and maintaining existing feature repository so it can be leveraged by machine learning models.
n




Working with the data scientists in the team to understand what features they would like to include in their ML models.
n
Data mining and discovery to create the recent features which can be leveraged by the data scientists in their ML models.
n
Deployment of any current models built by the data scientists into the production workplace.
n
Maintaining the data quality, reliability and accuracy of any features deployed into production on an ongoing basis.
n
Help setup data tools and data pipelines for analytics and data scientist team members that assist them in model development
n
Work with reporting team to understand the requirement from reporting perspective and accordingly maintain and enhance data layer
n
J-18808-Ljbffr

📌 Data Engineer New South Wales (Australia)
🏢 Pyramid Global Technologies
📍 Australia