About this role
The Agentic AI Delivery & Transformation department is a team of 150+ people (and growing rapidly) that has the mission to make ING data driven. We do this by combining Analytics, Data, and GCP with Data Science to deliver high value solutions and products for our organization. We work in a fun and creative environment, and we are dedicated to bringing out the best in both each other and our projects.
The team
Your passion is to work with the latest and greatest technologies in the field of AI Engineering. You will work as an AI platform engineer on different projects within the Agentic AI Delivery & Transformation, helping data scientists train, deploy, monitor and productionize models. You will take part in developing and maintaining an AI execution platform, keeping an eye on good coding practices, and creating re-usable code.
Roles and responsibilities: The following responsibilities we expect from you in this role:
• Familiar with software engineering practices like versioning, testing, documentation, code review
• Experience working in GCP
• Experience with GCP Vertex Model Registry and MLflow
• Knowledge of MLOps architecture and practices
• Programming in Python or Go
• Infrastructure as code (Terraform)
• Experience in setting up both SQL as well as noSQL databases
• Knowledge of DevOps methodology and tooling
• Experience with monitoring, alerting and observability
• Experience in Kubernetes (deployments and managing Kubernetes applications)
• Experience in building data-oriented platforms
• Relevant work experience in AI or data projects
• Deployment and provisioning automation tools e.g. Docker, CI/CD
Nice to have:
• Basic knowledge of Machine Learning/AI and hands-on technologies and frameworks used in ML
• Bash scripting and Linux systems administration
• Experience with building distributed large scale and secure applications
• Good understanding of databases including BigQuery
• Experience with working in an agile/scrum way
• Being a contributor to open-source projects is a strong plus
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.
We are building cloud ready state of the art VISTA (Value driven Insights and Scalable Technology 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 4 engineers (ML Platform Engineers, MLOps Engineers) that have already delivered Machine Learning Platform (inference over API) on on-prem and starts working on Google Cloud Platform.
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:
• A salary tailored to your qualities and experience
• 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? Please visit our Frequently Asked Questions section to find some answers on questions you might have. Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.