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.
Roles and responsibilities
In this role you will have the following responsibilities:
Manage multiple ML projects, ranging from prototyping to production
Communicate with stakeholders, explaining how the latest model will transform a key business process
Build and maintain CI/CD and training pipelines
Monitor deployed models, reviewing SLIs/SLOs and resolving data quality or performance issues
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.
A degree in computer science, engineering, or a related field.
3+ years of engineering experience with but not limited to Python and contributing to production machine learning systems
Understanding of ML and GenAI fundamentals (e.g., supervised learning, evaluation metrics, overfitting/underfitting, regularization, embeddings, tokenization, transformers)
Ability to manipulate structured and unstructured data
Proficiency in common ML libraries (e.g., scikit-learn, PyTorch, TensorFlow)
Familiarity with Git, code reviews, testing, and debugging in a collaborative environment. Experience with GCP is a plus
Fluent in written and spoken English. Dutch is a plus
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.