ML Ops Engineer - Fraud Detection Platform (Cloud)

ing; Warszawa; On-site; PLN 145,000 - 312,000; Full time

Job summary

ING Hubs Poland is seeking a Machine Learning DevOps Engineer to develop platforms and implement fraud detection models within banking. The role requires expertise in cloud DevOps (GCP/Azure), distributed computing with Spark, and ML model deployment.

You will work with data scientists to optimize code, run tests, and scale pipelines across teams. Ideally, you have hands-on experience with Airflow/Cloud Composer, Terraform, Kubernetes, and a strong command of Python, Pandas, and NumPy.

Qualifications

• Experience with cloud platforms: GCP, Azure (DevOps).
• Proficiency in data & software engineering with a focus on distributed computing (Spark 3.5+).
• Familiar with Clean Coding practices and Python programming.

Responsibilities

• Code/compute optimizations & (unit) testing.
• Scheduling & distributing code on our data analytics platform.
• Assisting model development and deployment.
• Collaborating with data scientists in squad.
• Maintenance of pipelines and platforms.

Skills

Python

ML Ops

Distributed computing

Cloud platforms

Airflow

Spark

GitHub

Terraform

Education

Master's degree

Tools

GCP

Azure

DataProc

Kubernetes

Pandas

NumPy

Job description

ING Hubs Poland is seeking a Machine Learning DevOps Engineer to develop platforms and implement fraud detection models within banking. The role requires expertise in cloud DevOps (GCP/Azure), distributed computing with Spark, and ML model deployment.

You will work with data scientists to optimize code, run tests, and scale pipelines across teams. Ideally, you have hands-on experience with Airflow/Cloud Composer, Terraform, Kubernetes, and a strong command of Python, Pandas, and NumPy.