Visium SA

Staff AI Engineer

🇪🇸 Barcelona, ES Hybride IT Temps plein Lead Publié Mai 8, 2026
LieuBarcelona, ES
Mode de travailHybride
ContratTemps plein
SenioritéLead
CatégorieIT
Catégorie ITData Science et ML
LangueEnglish
Publié8 mai 2026
Dernière vérification9 mai 2026

Type: Full-time

Location: Barcelona

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.

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