ING is looking for a Machine Learning Platform Engineer with experience in operationalizing ML models to join the ML Platform squad.
As part of the DevOps Platform tribe, the purpose of the Machine Learning (ML) Platform Squad is to build an ML Platform that enables engineers and data scientists across ING to efficiently build, deploy and run Machine learned Models at scale. To that end, we provide technologies to streamline ML processes.
As an engineer at the Machine Learning chapter, you will be part of ML Platform squad and working together with the other colleagues to build a Model Serving Platform to run Machine Learned models at scale.
As a squad member, you will be responsible for designing and developing an automated pipeline so that ML models can be deployed and managed with ease. On a day to day basis, you will contribute in an ongoing effort to democratizing ML by enabling Engineers/Data Scientists with streamlined tools and infrastructures to ideate, experiment, and iterate seamlessly.
In addition, as a chapter member of Machine Learning chapter, you will share engineering knowledge with peers, work on developing your skills, and discuss the way of working.
Who are you?
What do we offer you?
You will work with cutting-edge technologies to solve very challenging problems that have direct impact on millions of ING customers.
Good primary and secondary employment benefits, excellent work-life balance.
You will work in a team of experts in the field of distributed systems and FP.
We offer you a lot of room for professional growth.
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