You translate. Between what the business needs and what the data can support. Between what a model can do and what a process can absorb.
You know both sides, can structure requirements, and know when a data foundation is good enough for an AI initiative and when it isn’t. You ask the questions others don’t dare to.
What you bring
- Experience in requirements elicitation and documentation, classical and agile
- Knowledge of business and data analysis
- Understanding of how ML models are trained and what data requirements that entails
- Ability to prepare findings so that management decisions are optimally supported
What we offer
There are no hierarchy levels and no titles that exist purely for outward appearance. Instead, three things that count:
Fair pay with a performance component. You get a solid base salary, complemented by a performance component that reflects your contribution, and a bonus for exceptional results. That creates tangible opportunities to grow your salary noticeably.
Projects with real weight. We work with clients responsible for complex undertakings: AI platforms for tens of thousands of users, IT transformations under time pressure, process automation with measurable value. None of it is trivial, and that moves you forward.
Continuous personal growth. AI projects evolve fast. Working with us keeps you current – through direct project experience, targeted training and daily work with the methods and tools that matter in practice.
How to apply
No cover letter needed. Send us your CV and, in your own words: What are you working on right now? What fascinates you about AI projects, and where do you want your journey to go?
Whether we are a good fit is something we find out together, in a conversation at eye level.