Join our Data Science and Engineering team to build impactful Machine Learning solutions. Work on projects like fine-tuning models, recommendation systems, and forecasting. Optimize pipelines, improve MLOps, and ensure scalable, reliable systems. Ready to make a difference? We’d love to hear from you!
Key information
We welcome all applications, but can only consider applications submitted online. Applications submitted by post will be disposed of for data protection reasons and will not be returned.
An application letter or video is required for this position.
What motivates you
Main task
Foster a hands-on, collaborative environment with Data Analysts, Software Engineers, and Product Managers— turning exploratory insights into ML-ready assets.
Main task
Ensure that machine learning solutions are aligned with clear business objectives so that downstream model development delivers tangible value for customers and the company.
Main task
Deliver innovative solutions by fine-tuning state-of-the-art transformer and LLM, building robust recommendation systems, or tackling practical predictive tasks such as demand forecasting.
Main task
Working closely with product teams, you iterate quickly to ship high-quality services that create measurable business impact.
Main task
Drive continuous improvement of our machine learning pipelines by implementing robust training workflows and automation.
Main task
Advance our MLOps capabilities by refining deployment processes and leveraging modern CI/CD and model monitoring tools to ensure our production systems are reliable and scalable.
What you will offer
3-5 Years
Hands-on experience delivering ML models end-to-end (from development to production)
Master's degree (university / university of applied science)
Machine Learning, Computer Science, or a related field
English (Fluent)
French (Advantageous)
Mandatory
You are proactive and curious, boldly challenge assumptions to drive progress, yet remain open to feedback and thrive on constructive dialogue.
Mandatory
Proficient in modern machine learning frameworks and libraries such as TensorFlow, PyTorch, XGBoost, and Hugging Face Transformers.
Desired
Familiarity with MLOps best practices (e.g. CI/CD pipelines, containerization, model monitoring) and a drive to continually improve our deployment processes for scalable and reproducible ML outcomes.
Desired
Hands-on experience deploying machine learning solutions on Cloud (GCP Vertex AI, AzureI). Knowledge of infrastructure-as-code tools is a plus.
Advantageous
Data engineering skills (such as building data pipelines and handling large datasets) are a plus, as they enable seamless integration of data into our machine learning workflows.
The benefits we offer
Maternity/paternity leave
18-week maternity leave paid at 100% and 4-week paternity leave paid at 100%
Mobile phone subscription
Cell phone subscription at attractive rates
Catering
A company restaurant is available for employees to eat at preferential rates
Cumulus points
Benefit from additional Cumulus points
Sports and fitness offers
We value your health and offer CHF 250.- per year when taking out a sports subscription
Individual continuing training
We value your development and participate in your growth and offer a budget for it
Informal culture
We stand for respectful cooperation on the same level
Personal responsibility & freedom
We value direct communication and involve our employees in the decision-making process
Meet your team