You and your role

Working in an area where business and engineering teams collaborate closely to make a difference in how Rabobank engages with its customers. After all, your contribution is of real significance to us, as you will be working on topics like FEC (Financial Economic Crime) and CDD (Customer Due Diligence), which directly impact Rabobank’s operations. And of course, why not? This is the part that energizes you!

As a Machine Learning Engineer, you will be the pivotal link between business and IT development. You will optimize the Machine Learning (ML) Model workflow, development, and deployment with a platform-centric approach. We are focused on automating the entire Model Lifecycle as much as possible. Our goal is to provide a stable platform that can deliver models in a secure and regulatory-compliant way. Thanks to you, we can find people committing crimes and we can give our non-risky customers a flawless process.

In the domain of FEC Tech, you will have the opportunity to contribute to and work with the latest developments in the market, thereby maximizing the development of your knowledge and skills.

You and your responsibilities

Work on a key topic for our bank: Financial Economic Crime;
Develop, manage, and maintain Azure infrastructure that is specifically tailored for high-performance machine learning and artificial intelligence applications within the Rabobank.
Work in a multi-disciplined, highly skilled team to develop scalable solutions and ML pipelines throughout the entire ML cycle, collaborating closely with teams and data scientists.
Be responsible for ensuring the health of the system and models, monitoring data quality, performance, and business impact, and devising mitigation plans.
Identify underlying issues and opportunities across the ML development cycle and introduce tools for efficient development and testing.
Implement solutions in alignment with architectural guidelines, collaborating with your team.
Continuously evolve your craft by staying up to date with the latest technologies.

You and your talent

When we ask friends to describe you in a few keywords, the answers we’d like to hear are: customer-oriented, driven, possessing a strong analytical mind, a true team player, and eager to learn new techniques and developments. For this Machine Learning Engineer vacancy, you should also add:

A completed relevant HBO or WO education
Minimum 4 years of relevant experience in Software, Data, or ML Engineering (with at least 2 years specifically in ML Engineering) working (ideally on large data sets) with Python and PySpark (Azure Databricks experience is a plus)
Software development skills and good practices such as Git, release management, unit tests, testing strategy
Experience working in a cloud environment; preferably Azure.
Collaborate with data scientists and machine learning practitioners to provide infrastructure support for model development and deployment using Azure ML and Databricks
Passionate about building large scale data solutions in an efficient and scalable manner
You are familiar with setting up and managing CI/CD pipelines.
Experience with Agile and/or Scrum software development methodologies.

This is what we offer you

Up to ~ €70.000- gross per year depending on knowledge and experience;
A full thirteenth month salary and an 8% holiday allowance;
An Employee Benefit Budget of 11% of your gross salary to be used at your discretion. Buy extra holiday hours, add more to your pension savings or choose to have it paid out;
A budget of €750,- to set up your home working facilities and a monthly work-from-home allowance of up to €40,-;
An annual personal development budget of €1.400,-;
A combination of working from home and at the office;
100% reimbursement of commuting costs if you travel by public transport;
A pension scheme to which you contribute 3.5% or 5.5% (based on your personal preference);
172.8 hours holiday per year including 1 Diversity Day.

This is a selection of the terms of employment for a Machine Learning Engineer based on a 36-hour working week. You can find all terms of employment on rabobank.jobs/en/conditions-of-employment.

You and the job application process

We appreciate to read your motivation for this role.
Any questions about the job content? Reach out to Daan Wijfje, Tech Lead via daan.wijfje@rabobank.nl.
Any questions about working at Rabobank and the process? Reach out to Charlotte Bos, IT Recruiter, via Charlotte.Bos@rabobank.nl.
You can find answers to the most frequently asked questions on rabobank.jobs/en/faq.
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