Junior Talent Programmes (translation in progress)

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!

1024 Ecublens

• Calculate route
• 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

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)
• 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

Maternity/paternity leave

• 18-week maternity leave paid at 100% and 4-week paternity leave paid at 100%
• Cell phone subscription at attractive rates
• A company restaurant is available for employees to eat at preferential rates
• 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
• We value direct communication and involve our employees in the decision-making process

For a complete application, we require your CV, certificates, and diplomas. A photo in the CV and a cover letter are not necessary.We are committed to equal opportunities for all applicants. We follow a standardized recruitment process. If this does not work for you, please mention it in your application documents