Machine Learning Platform Engineer – Data Analytics Platform

REQ-10059259
18/08/2025
IT Engineering
Varsavia, Polonia
ING Hubs

Presenta la candidatura Learn more about our benefits

Dettagli del lavoro

We are looking for you, if you:

have wide experience in developing backend solutions in Python ,
have experience in Kubernetes (deployments and managing Kubernetes applications),
have software engineering experience,
have experience in creating CICD pipelines,
are familiar with contributing to opensource projects and reusing them,
are able to lead complex software integrations.

You'll get extra points for:

Experience with data-related projects,
Python experience in Flask or FastAPI packages,
Experience with Azure DevOps pipelines,
Cloud experience,
Machine Learning experience.

Your responsibilities:

integration of Data Analytics Platform software components,
design and development of Data Analytics Platform components,
Contribute to success of Data Analytics Platform at ING (used worldwide),
Seek for innovation and improvement of daily work,
work with tech stack: Kubernetes, Python, JVM base languages, MLFlow, Kafka, Helm

Information about the squad:

We are building cloud ready state of the art Data Analytics Platform to help ING to be even more data-driven. This is a joined effort between ING units and you are going to be part of distributed multi-national and multi-cultural team. There is plenty of work and fun down this road. You can join team of 7 engineers (ML Platform Engineers, MLOps Engineers) that have already delivered Machine Learning Platform on on-prem and starts working on Google Cloud Platform.

Presenta la candidatura Learn more about our benefits

Your place of work Explore the area

Questions? Just ask
ING Recruitment team

Ask by email

Presenta la candidatura

In ING vogliamo che le persone possano dare il meglio di sé. Per questo, creiamo una cultura inclusiva dove tutti possono crescere e fare la differenza per i nostri clienti e la società. Promuoviamo sempre diversità, uguaglianza e inclusione. Non tolleriamo nessuna forma di discriminazione: per età, genere, identità di genere, cultura, esperienza, religione, razza, disabilità, responsabilità familiari, orientamento sessuale o altro. Se hai bisogno di supporto o un aiuto durante il processo di selezione o colloquio, contatta il reclutatore indicato nell'annuncio. Saremo felici di aiutarti per rendere tutto giusto e accessibile. Clicca qui per scoprire di più sul nostro impegno per diversità e inclusione.