Hybrid AI Engineer

Posted 2 hours ago

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About the role

  • AI Engineer developing and deploying AI systems that create measurable business impact at Visium. Involves end-to-end work from defining solutions to performance improvement.

Responsibilities

  • Translating business problems into AI-driven solutions
  • Industrializing ML models (from prototype to production)
  • Designing and maintaining AI pipelines and platforms
  • Ensuring performance, monitoring, and continuous improvement of AI systems
  • Shaping best practices around MLOps, architecture, and AI governance

Requirements

  • Experience in AI / Machine Learning Engineering roles
  • Solid software engineering skills (Python required; others are a plus)
  • Hands-on experience deploying ML models into production environments
  • Strong understanding of MLOps (CI/CD for ML, monitoring, versioning, retraining)
  • Experience with cloud platforms (Azure strongly preferred)
  • Knowledge of containers and orchestration (Docker, Kubernetes)
  • Ability to design scalable, secure, and maintainable AI systems
  • Experience with LLMs, GenAI, or advanced ML use cases
  • Previous exposure to healthcare projects in the intersection with AI.
  • Strong communication skills and a consulting mindset
  • Fluency in French/German

Benefits

  • A competitive compensation package
  • A yearly education budget to steep your learning curve
  • A yearly sport budget because a fit body leads to a fit mind
  • A flexible working culture because your work-life balance matters to us
  • A position that enables you to have an impact on 1’000s of people, and the whole company's growth.
  • An international, knowledgeable, and passionate team with a strong collaborative mindset

Job title

AI Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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