Fraud ML DevOps Engineer — Banking Platform

ING Hubs Poland; Warszawa; On-site; PLN 180,000 - 300,000; Full time

Job summary

ING Hubs Poland is seeking a talented Machine Learning DevOps Engineer to develop platform capabilities and implement fraud detection models in the banking sector. The ideal candidate will leverage cloud platforms (GCP, Azure), orchestration, and distributed computing to deploy scalable ML solutions.

You will collaborate with data scientists, maintain pipelines, and optimize code for large datasets. The role emphasizes Clean Coding, teamwork, and continuous improvement within a Scrum-based

Qualifications

• Master's degree in a related field required.
• Strong programming experience in Python and ML Ops.
• Proven track record with fraud detection models in banking or fintech.

Responsibilities

• Code and compute optimizations with unit testing.
• Schedule and distribute code on data analytics platform.
• Collaborate with data scientists on model development.
• Maintain and improve deployment pipelines.

Skills

GCP

Azure DevOps

GitHub

Airflow

Cloud Composer

Spark

Terraform

Containerization

Distributed computing

Python

ML Ops

Scikit-learn

Pandas

NumPy

Model deployment

Communication

Teamwork

Code optimization

Testing

Fraud detection

Banking domain

Big data

Education

Master's degree in computer science / statistics / data science

Tools

Spark 3.5+

Kubernetes

Docker

Airflow/Cloud Composer

Terraform

Job description

ING Hubs Poland is seeking a talented Machine Learning DevOps Engineer to develop platform capabilities and implement fraud detection models in the banking sector. The ideal candidate will leverage cloud platforms (GCP, Azure), orchestration, and distributed computing to deploy scalable ML solutions.

You will collaborate with data scientists, maintain pipelines, and optimize code for large datasets. The role emphasizes Clean Coding, teamwork, and continuous improvement within a Scrum-based