Machine Learning Ops and Data Engineer

About the role

This role combines data platform engineering and MLOps responsibilities, supporting both reliable analytical data flows and production-ready machine learning solutions. The person will maintain and improve ETL pipelines, support the data platform environment, and help deploy, monitor, and optimize machine learning models in production. The role requires close cooperation with Data Science, Engineering, BI, Risk, and IT teams to ensure that data and model processes are scalable, well-documented, stable, and aligned with business needs.

Key Responsibilities

As a Data Platform and MLOps engineer, you will be part of our Data Platform team and play an important role in our daily operations. Your responsibilities will include:

• Deploy machine learning models into production environments and support their operational lifecycle.

• Support cloud-based analytical, reporting, and machine learning infrastructure.