Zurich, Switzerland | Hybrid (1 day on-site per week)
AI Consultancy
CHF 130k – 136k Bonus
Overview
This is a hands-on MLOps / software engineering role within an AI consultancy that delivers production ML systems into enterprise environments.
You’ll be embedded inside the pricing team of a large insurance company, working on an existing project where more engineering capacity is needed to get models into production and keep them running.
The core problem is straightforward: models exist, now they need to be deployed, scaled, and made reliable on GCP.
What you’ll be doing
You own the path from trained model to production system.
That includes building MLOps pipelines, deploying models into GCP, and ensuring they’re stable, monitored, and usable once live. You’ll work closely with data scientists on one side and stakeholders on the other to make sure what’s built actually runs and delivers value.
Environment
You’ll join a lean team: Head of AI Engineering one engineer.
The consultancy model means you’re embedded with the client for long-term engagements (typically 1–2 years), so you stay close to the systems you build and continue improving them over time.
You’ll work directly with both technical and non-technical stakeholders, with no layers in between.
What this offers you
- Ownership of ML deployment into production on GCP
- Work on systems used day-to-day by the business (pricing decisions)
- Small team, high visibility, direct access to leadership
- Long-term project continuity (1–2 years)
- Clear progression into Architect / Principal or consulting track
You’ve deployed ML systems into production and know where things tend to break.
You’re strong on GCP, can operate independently, and are comfortable working directly with stakeholders. You care about system reliability, clean architecture, and making ML systems actually work in production.
Compensation
- Base: CHF 130k – 136k
- Bonus: typically ~1 month salary
- CHF 2,500 annual learning budget
- CHF 1,000 annual wellness budget
