Machine Learning Engineer

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!

• 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.

• 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)

• 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.

• 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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