You will join the tribe Enterprise Content & Automation with the focus on content analytics. As an NLP data scientist/ML engineer, you translate business needs into technical solutions by preprocessing and analyzing data, building machine learning models, and deploying text and image-based systems that automate workflows and extract insights from large unstructured datasets.
The team
In our team you will get a lot of personal responsibility and freedom to develop models and solutions, while also providing an environment to share your skills and learnings with others. Trying out new initiatives is highly encouraged in our team.
Roles and responsibilities
In this role you will have the following responsibilities:
uss progress and blockers across multiple ML projects, ranging from prototyping to production
Start the day with a team stand-up to discuss progress and blockers across multiple ML projects, ranging from prototyping to production
Prepare a presentation for a new onboarder, explaining how the latest model will transform a key business process
Address a failing unit test in a CI/CD pipeline by coordinating a quick fix to restore stability
Monitor deployed models after lunch, reviewing SLIs/SLOs and resolving data quality or performance issues
Balance hands-on development and data analysis with clear communication to both technical and business stakeholders throughout the day
How to succeed
We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.
Build a strong understanding of the end-to-end ML lifecycle, from prototyping through production and monitoring
Communicate clearly and confidently with both technical and business stakeholders, tailoring the message to the audience
Take ownership of model quality in production by proactively monitoring SLIs/SLOs and data health
Be comfortable switching between hands-on development, debugging, and analysis as priorities change
Collaborate effectively with teammates to unblock issues quickly, especially in CI/CD and deployment workflows
Continuously learn and improve, staying current with ML, MLOps, and platform best practices
Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.
The benefits of working with us at ING include:
25-28 vacation days depending on contract
Pension scheme
13th month salary
8% Holiday payment
Hybrid working
Personal growth and challenging work with endless possibilities
An informal working environment with innovative colleagues
About us
Curious about how ING empowers people and businesses to move forward?
Discover what we do and what we can offer you
Questions?
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers
