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!

What impact do you have?

Foster a hands-on, collaborative environment with Data Analysts, Software Engineers, and Product Managers— turning exploratory insights into ML-ready assets.
Ensure that machine learning solutions are aligned with clear business objectives so that downstream model development delivers tangible value for customers and the company.
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.
Working closely with product teams, you iterate quickly to ship high-quality services that create measurable business impact.
Drive continuous improvement of our machine learning pipelines by implementing robust training workflows and automation.
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 do you offer?

Education: Master's degree (university / university of applied science) Machine Learning, Computer Science, or a related field
Experience: 3-5 Years Hands-on experience delivering ML models end-to-end (from development to production)
You are proactive and curious, boldly challenge assumptions to drive progress, yet remain open to feedback and thrive on constructive dialogue.
Proficient in modern machine learning frameworks and libraries such as TensorFlow, PyTorch, XGBoost, and Hugging Face Transformers.
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.
Hands-on experience deploying machine learning solutions on Cloud (GCP Vertex AI, AzureI). Knowledge of infrastructure-as-code tools is a plus.
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.
English (B2)
French (ADVANTAGEOUS)

What do we offer you?

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

Only online applications can be accepted on the applications portal.

Recruitment process

Submit application documents
Pre-selection of applications
Interview with HR & specialist department
Getting to know the team
Offer & issuance of the contract (digital)

Contact
Ms. Katharina Höttermann
Talent Acquisition Partner

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Machine Learning Engineer