Machine Learning DevOps Engineer

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 hiring!

The expected salary for:

expert position: 13 000 - 28 000 PLN

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.

You’ll get extra points for:

• 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.
• Assist in model development/deployment.
• Collaboration with data scientists in squad.
• Maintenance.

English level: B2

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"