Machine Learning Platform Engineer – Data Analytics Platform

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.