Staff ML Engineer: Lead Architect & Scale AI Solutions

Visium SA

Vaud

On-site

CHF 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Education budget
Sport budget
Impact on thousands of people
International team
Transparent culture

Job summary

Visium SA is seeking a Staff Machine Learning Engineer to own the most technically complex projects from concept through production deployment. The role combines hands-on coding with strategic decision-making and team leadership.

You will lead and mentor engineers, translate business challenges into clear technical roadmaps, and drive ML best practices and MLOps across projects, ensuring measurable business outcomes.

Qualifications

  • 6-8 years of experience in machine learning, data science, or related fields.
  • Proficiency in Python programming.
  • Expertise in ML/DL libraries and frameworks.
  • Experience with data visualization tools.

Responsibilities

  • Set direction for a technical team, ensuring architectural excellence and long-term 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.
  • Partner with clients to translate complex business challenges into technical roadmaps and measurable outcomes.
  • Drive adoption of modern ML best practices and MLOps across design, modelling and deployment.

Skills

Python
ML frameworks
LLM deployment
RAG systems
REST APIs
Unix/Linux
Cloud platforms

Education

Master's degree in CS/ML
PhD considered a plus

Tools

TensorFlow
PyTorch
Keras
Scikit-learn

Job description

Visium SA is seeking a Staff Machine Learning Engineer to own the most technically complex projects from concept through production deployment. The role combines hands-on coding with strategic decision-making and team leadership.

You will lead and mentor engineers, translate business challenges into clear technical roadmaps, and drive ML best practices and MLOps across projects, ensuring measurable business outcomes.

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