Staff AI Engineer
Resumo da vaga pela JobGrid
Staff AI Engineer at Visium SA: Lausanne, Suíça; Híbrido; Tempo inteiro; TI; Data Science e ML. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Lausanne, Suíça, Híbrido
- Role classification: TI, Data Science e ML, Tempo inteiro
- Source freshness: checked by JobGrid on 2026-05-30.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Type: Full-time
Location: Lausanne
About us
At Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof.
With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data.
We’re on a mission to pioneer a bright future and build future-proof and ethical organizations . Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we’re all in awe of – our Visiumees.
Ready to become one?
Role
As a Staff Machine Learning Engineer, you will own the most technically complex and high-impact projects from conceptualization over architecture design to production deployment.
You will:
- Set direction for a technical team, ensuring architectural excellence and long-term solution maintainability.
- Lead and mentor junior and senior engineers, raising the technical bar across projects.
- Stay hands-on with high quality code contributions to data processing, modeling and deployment pipelines while delegating effectively.
- Partner with clients to translate complex business challenges into clear technical roadmaps and deliver measurable business outcomes.
- Drive adoption of modern ML best practices and state-of-the-art methodology from system design and architecture over modelling to MLOps.
You are not only passionate about machine learning, but also about shaping how data-driven insights create value for our clients. You thrive in dynamic environments, balancing hands-on technical work with strategic decision-making and team leadership.
This role goes beyond building models: you will be responsible for technical strategy, quality standards and growing engineering talent, shaping the future of our ML delivery practice.