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:

Qualifications and Experience

We are looking for someone who has:

• 2+ years of experience in data engineering and machine learning

• Strong Python programming skills and intermediate SQL knowledge

• Good understanding of databases, data warehouse concepts, and ETL processes

• Understanding of machine learning lifecycle and model operationalization

• Using LLM’s to generate and optimize code, ability to use AI platform features to enhance and speed up workflows

• Knowledge of DevOps practices, CI/CD pipelines, and version control

• Experience with cloud-based analytical and reporting solutions, preferably Azure

• Familiarity with machine learning frameworks and tools such as scikit-learn and XGBoost

• Familiarity with containerization technologies such as Docker

• Ability to monitor, troubleshoot, and optimize data pipelines, infrastructure, and deployed models

• Experience with software design, development, debugging, and documentation

• Proficient English, B1/B2 level or higher. Fluent in Polish.