Machine Learning DevOps Engineer

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

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

We are a dynamic and rapidly growing tech company, seeking a talented Machine Learning DevOps Engineer to join our team. The successful candidate will be responsible for developing platform and implementing fraud detection models within the banking sector.

We are looking for you if:

• You have experience with cloud platforms: GCP, Azure (DevOps).
• You have experience with GitHub, Airflow/Cloud Composer, Spark/DataProc, Terraform, containerization.
• You are proficient in data & software engineering with a special focus on distributed computing (Spark 3.5+).
• You are familiar with 'Clean Coding' paradigms and have programming experience in Python.
• You understand ML Ops and have been involved in ML model deployment.
• You are familiar with model development frameworks (Scikit-learn, Pandas, NumPy).
• You possess excellent problem-solving skills, attention to detail, and the ability to work both independently and collaboratively.
• You have excellent communication and teamwork skills.
• Hands-on experience with code/compute optimization and tuning testing.
• Proven capability in handling large data sets for developing fraud detection models.
• Master's degree in computer science, statistics, data science or a related field.
• Experience with other machine learning frameworks and libraries.
• Certifications in relevant fields.
• Experience in the banking sector, particularly with fraud detection systems.

Your 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.

Information about the squad:

Are you interested in becoming an integral part of a pioneering team that cooperates in designing, building, and implementing models in the realm of banking fraud detection? We employ a wide range of technologies. Our team enjoys the flexibility to experiment with cutting-edge technologies and techniques in the field of machine learning.

Our clientele includes various divisions of the ING Group, spanning countries such as the Netherlands, Germany, Spain, Italy, Poland, and Romania. By joining us, you will have the opportunity to implement and optimize machine learning models on a global scale, crafting innovative solutions for customers in diverse countries. We are committed to continuous professional development and offer every team member the chance to expand their skills and pursue their interests in a dynamic and collaborative environment.

Our team operates within a Scrum framework, and we're currently seeking an additional ML DevOps Engineer who will enrich our team.

The role naming convention in the global ING job architecture will be “Engineer IV”