ML Ops Engineer for Banking Fraud Detection

ING Hubs Poland; Katowice; On-site; PLN 180,000 - 260,000; Full time

Job summary

ING Hubs Poland in Katowice is seeking a Machine Learning DevOps Engineer to develop platforms and implement fraud detection models for banking. The role emphasizes cloud-native pipelines, ML Ops, and collaboration with data scientists to deploy scalable solutions.

We value expertise in GCP/Azure, Python, Spark, and Terraform, with a Master’s in CS or related field. The team operates in a Scrum framework, offering fast growth, diverse projects across ING Group countries, and opportunities to

Qualifications

• Master's degree in computer science, statistics, data science or a related field.
• Experience with large datasets for developing fraud detection models.
• Experience with ML model deployment and ML Ops culture.
• Certifications in relevant fields are a plus.

Responsibilities

• Code/compute optimizations & (unit) testing.
• Scheduling & distributing code on our data analytics platform.
• Working with shared model development codebase.
• Collaboration with data scientists in squad.
• Maintenance.

Skills

GCP

Azure

Python

ML Ops

Spark

Data engineering

Model deployment

Clean Coding

Teamwork

Problem solving

Education

Master's degree in CS/Statistics/Data Science or related

Tools

Terraform

Airflow

Cloud Composer

Docker

Kubernetes

Spark 3.5+

Job description

ING Hubs Poland in Katowice is seeking a Machine Learning DevOps Engineer to develop platforms and implement fraud detection models for banking. The role emphasizes cloud-native pipelines, ML Ops, and collaboration with data scientists to deploy scalable solutions.

We value expertise in GCP/Azure, Python, Spark, and Terraform, with a Master’s in CS or related field. The team operates in a Scrum framework, offering fast growth, diverse projects across ING Group countries, and opportunities to