MLOps Engineer – Data Analytics Platform

ING Hubs Poland is hiring! The expected salary for this position: 9600 - 19000 PLN The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

We are looking for you, if you:

• have good understanding of machine learning model deployment and consumption patterns
• have hands-on experience with workflow orchestration tools, especially Apache Airflow (must-have)
• have experience with ML lifecycle management tools such as MLflow (strongly preferred)
• have hands-on experience working with Google Cloud Platform (GCP) in the context of data or ML pipelines (e.g. BigQuery, Vertex AI, Cloud Storage or similar)
• have experience in building containerized components (Docker)
• have experience in CI/CD and DevOps practices
• have hands-on experience with data pipelines and ETL processes
• have hands-on experience with monitoring logging and troubleshooting ML pipelines
• can clearly express ideas and collaborate effectively with data scientists and engineers
• speak English at B2 level or above

You'll get extra points for:

• strong experience with Airflow-based workflow design and optimization
• experience with Vertex AI in GCP
• experience with Spark or distributed batch data processing
• familiarity with Kedro or similar pipeline frameworks
• experience with Kubernetes or distributed environments

Your responsibilities:

• developing and managing workflow orchestration using Airflow (core responsibility)
• supporting and improving model lifecycle management using MLflow (tracking, registry, reproducibility)
• actively contributing to the migration of the ML Batch platform from on‑premise (IPC) to Google Cloud Platform (GCP)
• refactoring and adapting ML pipelines to run efficiently in cloud-native environments
• developing and improving templates for productionizing ML solutions
• integrating ML pipelines with CI/CD pipelines for automated deployments
• ensuring scalability reliability and reproducibility of ML workloads
• troubleshooting and optimizing pipelines to improve performance and stability
• participating in on‑call support to maintain platform reliability
• collaborating with stakeholders to deliver scalable secure and cost‑efficient solutions

Information about the squad:

ML-Batch is a robust, scalable, and efficient platform provided by DAP. The goal of our team is to empower users by providing them with an easy-to-use platform for designing & implementing batch processing, ETL, and machine learning pipelines. By leveraging cutting-edge tools like Airflow & MLFlow and by adhering to MLOps methodology, we aim to facilitate seamless, high-performance data workflows, ensuring that our users can execute their data-driven tasks reliably and efficiently. MLOps practices ensure continuous integration, deployment, and monitoring, enabling a streamlined and collaborative approach to machine learning operations.

As an MLOps Engineer, you will:

• help migrate ML pipelines and workflows to GCP
• contribute to shaping the target ML platform architecture
• work with technologies such as Airflow (orchestration), MLflow (model lifecycle), and Spark (data processing)

You will join a multinational multi-cultural team delivering scalable secure and automated solutions that enable data scientists across ING to build high‑impact products. You will work with modern technologies solve complex problems and help shape the future of ING’s data ecosystem in a cloud‑first environment.

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

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

Die ING ist eine globale Bank mit über 60.000 Mitarbeitenden. Wir sind für rund 38 Millionen Privat-Kundinnen und Kunden sowie für unsere Geschäfts- und Firmenkunden in über 40 Ländern da. Wir sind bunt, vielfältig, digital und stolz darauf. Lust uns kennenzulernen? Dich erwartet eine Kultur auf Augenhöhe, flexible Arbeitsweisen und die Chance, mit einem Job wirklich etwas zu verändern. Denn als globale Bank berühren wir das Leben von Millionen Menschen und wir streben danach einen positiven Einfluss auf die Gesellschaft und auf unseren Planeten zu haben. Selbstbestimmtes Arbeiten ist unser täglich Brot: Wir vertrauen unseren Mitarbeitenden und ermutigen sie, ihr Ding zu machen – also ihre Karriere so zu gestalten, wie es für sie am besten ist. Wir sind mehr als ein Arbeitgeber – wir sind innovativ, lösen Probleme, sind immer einen Schritt voraus und setzen uns dafür ein, einen echten Unterschied zu machen. Egal, ob Du gerade Deine Karriere startest oder die nächste große Herausforderung suchst, wir haben viele Jobmöglichkeiten, die Dich inspirieren und über Dich hinauswachsen lassen. Deine Zukunft bei der ING beginnt mit einer Bewerbung. Bist du bereit, Teil der ING zu werden? Wir haben viele Jobmöglichkeiten, die zu Deinen Fähigkeiten und Ambitionen passen! Verwende die Filter unter der Suchleiste, wie Standort und Jobtyp, um die perfekte Stelle zu finden. Starte jetzt mit der Suche und finde heraus, wohin Dich Dein nächster Karriereschritt führen könnte!