Fraud-Detection ML DevOps Engineer

ING; Województwo pomorskie; On-site; PLN 145,000 - 312,000; Full time

Job summary

ING Hubs Poland is seeking a skilled Machine Learning DevOps Engineer to join our team. You will develop platforms and implement fraud detection models within the banking sector, collaborating with data scientists and cross-functional teams.

The role requires hands-on experience with cloud platforms (GCP, Azure DevOps), GitHub, Airflow/Cloud Composer, Spark/DataProc, Terraform and containerization, plus strong Python for ML Ops and model deployment.

Qualifications

• Experience with cloud platforms: GCP, Azure (DevOps).
• Experience with GitHub, Airflow/Cloud Composer, Spark/DataProc, Terraform, containerization.
• Proficient in data & software engineering with distributed computing (Spark 3.5+).
• Programming in Python; ML Ops and model deployment; familiar with Scikit-learn, Pandas, NumPy.

Responsibilities

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

Skills

GCP

Azure DevOps

GitHub

Airflow/Cloud Composer

Spark/DataProc

Terraform

containerization

Python

ML Ops

model deployment

Education

Master’s degree in computer science, statistics, data science or related field

Tools

Spark 3.5+

Cloud Composer

Terraform

Docker

Kubernetes

Python

Scikit-learn

Pandas

NumPy

Job description

ING Hubs Poland is seeking a skilled Machine Learning DevOps Engineer to join our team. You will develop platforms and implement fraud detection models within the banking sector, collaborating with data scientists and cross-functional teams.

The role requires hands-on experience with cloud platforms (GCP, Azure DevOps), GitHub, Airflow/Cloud Composer, Spark/DataProc, Terraform and containerization, plus strong Python for ML Ops and model deployment.