GRÜEZI MITENAND

AI Project Manager (Contract)We’re partnering with a leading Consulting organisation to hire an AI Project Manager to drive high-impact AI initiatives within a Microsoft/Azure environment. This is a fantastic opportunity to work at the forefront of AI delivery, collaborating with senior stakeholders and cutting-edge technical teams. The RoleOwn and deliver AI and data projects end-to-end within an Azure ecosystemAct as the key interface between business stakeholders and technical teamsDrive project planning, execution, and governance across multiple workstreamsEnsure clear communication, alignment, and successful delivery in a client-facing environmentWhat We’re Looking For5–8 years’ experience in project management within tech, data, or AI environmentsProven track record delivering AI / ML or advanced analytics projectsStrong experience with Microsoft technologies, particularly AzureConsulting or client-facing delivery experience is highly desirableExcellent stakeholder management and communication skillsFluent English is essentialAdditional InfoFully remote within Europe (Europe based in a must have)Fast-paced, high-visibility project environmentImmediate start preferred

Lead MLOps Engineer 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 youOwnership of ML deployment into production on GCPWork on systems used day-to-day by the business (pricing decisions)Small team, high visibility, direct access to leadershipLong-term project continuity (1–2 years)Clear progression into Architect / Principal or consulting trackWhat you bring 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. CompensationBase: CHF 130k – 136kBonus: typically ~1 month salaryCHF 2,500 annual learning budgetCHF 1,000 annual wellness budget