Start Date: September 2026
Duration: 6-months
Location: Lausanne or Zürich
Visium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how businesses operate — unlocking the value of AI at scale.
We're not a strategy firm that ships slide decks and walks away. Not a tech consultancy that builds what won't get adopted. Not a product company chasing problems it doesn't understand. We're all three at once: strategy, deep technical and integration expertise, and product, working as one. That combination is our flywheel. Consulting keeps us close to the hardest real-world problems. Products let us solve them at scale. Every engagement sharpens our products; every deployment makes the next engagement faster, deeper, and more certain.
We're obsessed with outcomes. While 95% of enterprise AI pilots never reach production, Visium is built to be the 5% delivering productised AI that compounds in value, not point solutions that deliver marginal gains. We are AI-native, not AI-adjacent. We don't bolt AI onto broken workflows; we redesign them with AI at the core.
Role
Join the company's growing team and take part in our expansion in Switzerland and internationally. As a Junior Machine Learning Engineer, you will be working on a variety of applied research projects using state-of-the-art machine learning techniques, and you will help deploy them for customers, transforming their business.
You will contribute to an exciting environment with a challenging team always on the lookout to learn and share about the latest technologies and applications.
Requirements
Who you should be in order to apply?
- EPFL or ETH student/graduate. If you are still studying, you have an internship to complete as part of your studies.
- Data enthusiast; you are not scared to dive in and ask the right questions.
- Resourceful, with critical thinking, collaboration, and a team-oriented spirit.
- Impeccable attention to detail and a drive to excel.
- A fast learner with a problem-solving attitude. The projects you will work on are not textbook cases; you will need to be imaginative to deliver the best solutions.
- Organizational skills and the capacity to adapt in an ever-evolving scale-up environment.
- Strong communication skills; you will most likely have to present your results to non-technical people.
- A willingness to always go the extra mile and never compromise on quality.
- A proactive attitude, without hesitation to act and take on responsibilities.
- A growth mindset, always looking for what you can improve, rationalize, and consolidate.
In addition, the following should be part of your background:
- Proficiency in Python programming.
- Experience with ML/DL libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras, and PyTorch).
- Experience with visualization frameworks (e.g., Matplotlib, Seaborn, Bokeh, Power BI, Tableau, and D3.js).
- Experience applying deep learning approaches, such as recurrent neural networks and deep convolutional networks.
- Strong knowledge of clustering algorithms, regression, and classification (supervised, unsupervised, and reinforcement learning).
- Understanding of Unix/Linux operating systems.
- Familiarity with web development is a plus.
- Familiarity with REST APIs and microservices.
Benefits
What we offer:
- A competitive compensation package.
- A yearly education budget to steepen your learning curve.
- A yearly sports 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 thousands of people and the whole company's growth.
- An international, knowledgeable, and passionate team with a strong collaborative mindset.
- Check our LinkedIn page and website to learn more about us, and don't hesitate to contact us if you have any questions.